thermal rgb dataset This dataset serves as a way to experiment with infrared images in Roboflow. Landsat, a joint program of the USGS and NASA, has been observing the Earth continuously from 1972 through the present day. [1] propose a dataset that consists of thermal infrared images which is mainly targeted towards object The dataset consists of images collected by 9 flights with senseFly MSP4C, 9 with Parrot Sequoia, 2 with Slant Range P3, 5 with DJI Zenmuse X3 NIR, 4 with the senseFly Thermo-map and 1 with the RGB Sony WX-220. Saha, B. time. We will review the known factors of thermal vs. This workflow isolates colonies using multispectral imagery and detects and counts individuals by thermal signatures. The idea is to use the higher resolution RGB images to compute a detailed 3D model (mesh) and to project the thermal texture on top of it. Images are named as label with mask and without mask. Additionally, validation measurements at radiometric calibration In the Processing Options Template, select 3D Maps or 3D Models, not the Thermal Map template as the photogrammetric processing is done using the RGB images. Furthermore, due to a lack of thermal data for autonomous driving, we present a new dataset comprising over 20,000 time-synchronized and aligned RGB-thermal image pairs. Infrared imaging is useful in security, wildlife detection,and hunting / outdoors recreation. The sensors can also be set to reproduce a wide range of environmental conditions to further increase the diversity of your dataset. Install the required packages Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 14,353 annotated thermal images to increase testing and evolving convolutional neural networks (CNN). It comprises annotated RGB images with a physical resolution of roughly 10 pixels per mm. 11 are from the BigBird dataset, and the rest are common objects such as bowls and coffee mugs. Right column: Kinect’s native depth computations. Therefore, most state-of-the-art methods on tracking for TIR data are still based on handcrafted features This work addresses the semantic segmentation of images of street scenes for autonomous vehicles based on a new RGB-Thermal dataset, which is also introduced in this paper. Thermal physiology research has been ongoing since the late nineties. It contains 766 images in 40 categories with each category depicting a different volunteer from our cohort of 19 men and 21 women. Stereo Thermal Dataset: Three synchronized stereo video sequences from thermal cameras capturing pedestrians at an outdoor event. In this task, we focus on predicting a 3D bounding box in real world dimension to include an object at its full extent. The first, referred to as SC3000-DB in our study, was created by our research team using a FLIR ThermaCAM* SC3000 camera. The correct dataset will be automatically downloaded by selecting the corresponding experiment stack when configuring evaluation workspace. Each processed by a base network built on VGG16 : Faster-RCNN : RPN with fused features : Before and after RP : Feature concatenation, Mixture of Experts : Early, Middle, Late : KAIST Pedestrian Dataset : Takumi et al. The spectral width or spectral resolution of the band is thus 10 nm. Drones can provide RGB and thermal data sets which helps you maximise your results and analysis. 3 cm) rain event, a total of approximately 60 ha of sUAS thermal and RGB data were acquired at two different locations in the IML-CZO in Illinois. Images can be downloaded from this link: TrimodalDataset. He added: "Thermal and RGB data sets are also important when it comes to quantitative and qualitative analysis - both essential to understanding defects on solar panels. The dataset includes 64 minutes of multimodal sensor data including stereo cylindrical 360° RGB video at 15 fps, 3D point clouds from two Velodyne 16 Lidars, line 3D point clouds from two Sick Lidars, audio signal, RGBD video at 30 fps, 360° spherical image from a fisheye camera and encoder values from the robot’s wheels. ) and sensor types (mono, color, near-IR, thermal, etc. The thermal imagery showed limited evidence of thermal contrast related to the drainage pipe. Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test). 136 different cows) with a mean of 9 images per class/cow. The SPIKE dataset and the trained CNN are the main contributions of this paper. The dataset can be used as training data for automated detection with machine learning or deep learning algorithm. Downloading the Datasets. And with the cost of thermal cameras going down in recent years, it presents a new mode of sensing for future robotic systems. The dataset is fully annotated, where the annotation not only contains information on the action class but also its spatial and temporal positions in the video. The RGB image can be decomposed into red, green and blue channels. An increasing interest in self-driving vehicles has necessitated the adaptation of semantic segmentation for self-driving systems. All the pairs are manually annotated (person, people, cyclist) for the total of 103,128 dense annotations and 1,182 unique pedestrians. For the task of person detection the dataset contains bounding box annotations of the training and test set. With 1,500 registered viewers, we reached an unprecedented audience interested in applying this technology to detect issues and optimize asset management. published work on using thermal sensor information to detect humans using mobile robots. Then, the learned feature representations are transferred to a second deep network, which receives as input an RGB image and outputs the detection results. 3D object detection is a fundamental task for scene understanding. And the dataset is already separated by the authors. These images have the soil represented as black pixels. This dataset contains the geospatial coordinates and border vertices for over 19,000 solar panels across 601 high-resolution images from four cities in California. The program will output a number hand, this mechanism can maintain those positives in RGB or thermal which overlap the positives in another algorithm. I read the document aswell as followed some tutorials and they usually train on i-bug dataset, which i think dlib already is originally trained on ibug Crop dataset (python), depends on crop image (bash) Load preprocessed dataset as a PyTorch dataset (python) Train a neural network with run_nn. Thermal image only has one channel. However, RGB-T research is limited by lacking a comprehensive evaluation platform. The phase correlation approach was employed to coregister multisensor orthophotos with the aid of GNSS-based navigation information derived during UAV flight. ThermoViewer includes a feature called Non-Uniformity Correction , which helps to minimise this effect. Queries can be applied to multiple datasets simultaneously. where: Band_R is an output band, where R is a number from 1 to the number of output bands. Most importantly, the dataset also contains structure ground truth as a PLY Pointcloud, created from multiple scans with a Leica MS50 professional The database is a compilation of existing cost data for wind, solar photovoltaic (solar PV), solar thermal (CSP), and geothermal energy technologies, including historical costs XLS Freedom Field Site Data: June 14, 2011 Landsat, a joint program of the USGS and NASA, has been observing the Earth continuously from 1972 through the present day. The RGB image can be decomposed into red, green and blue channels. Assuming all the conditions above, we want to develop an algorithm which can classify human poses using thermal images. If you have any questions regarding this dataset, please raise a GitHub issue here or reach out to us at sshreyas@seas. GTOT Dataset [Google drive] [Baidu cloud] Citation: Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, and Liang Lin. Dataset(s) used ; Guan et al. The dataset consists of images collected from30 flights: 9flights with senseFly . Camera pose information for each frame in all scenes. Satellite imagery from the Landsat 8 and Sentinel-2 satellites, aligned to a common grid and processed to compatible color spaces. Each burst consists of the raw burst input (in DNG format) and certain metadata not present in the images, as sidecar files. Most of the solutions out there to solve these kinds of problems, even more high-end solutions like the Philips Hue sensors, detect motion ContactPose: A Dataset of Grasps with Object Contact and Hand Pose 3 {Data: Our dataset (ContactPose) captures 50 participants grasping 25 ob-jects with 2 functional intents. The several modalities are registered using a calibration device and a registration algorithm. . The benchmark contains videos and images recorded in and beyond the visible spectrum and are available for free to all researchers in the international computer vision communities. It includes high-quality contact maps for each grasp, over 2. The dataset is also available at Kaggle. , 2017 Introducing a Thermal Infrared Dataset for Object Detection Computer vision is performed on a wide array of imaging data: photographs, screenshots, videos. The pixel size of each 2D patch is determined by the projection of the 0. However, the lack of large labeled datasets hampers the usage of convolutional neural networks for tracking in thermal infrared (TIR) images. In this paper, we present an automated method to obtain a 3D model fusing data from a visible and a thermal camera. However, RGB-T research is limited by lacking a comprehensive evaluation platform. Images of faces with mask are 3725 and images of faces without mask are 3828. RGB-D-T based Face Recognition: Images of faces captured with RGB, D and T cameras. A thermal image (thermogram) is a digital representation of a scene and a measure of the thermal radiation emitted by the pictured objects. In June, it released an open source dataset of 10,000 infrared light images to jump-start development of autonomous car systems. Multispectral image consists of a concatenation of three channels of RGB image and one channel of thermal image. The purpose of this dataset is to allow researchers to test their perception and reasoning algorithms for liquids on raw sensory data. edu (Shreyas S. Our dataset contains general traffic An infrared image dataset with categories of images similar to Microsoft COCO, Pascal 2007/12 etc. Data set consists of 7553 RGB images in 2 folders as with mask and without mask. Penn Subterranean Thermal 900. Having your house to turn the lights on or off when you enter or exit your living room is an interesting application, for instance. The dataset consists of 3640 bursts (made up of 28461 images in total), organized into subfolders, plus the results of our image processing pipeline. TABLE 3. All the re-sults clearly show that the proposed method outperforms state-of-the-art methods. The proposed system uses the RGB camera, thermal camera, 3D LiDAR, and the pre-trained neural network that detects objects in the RGB domain. multiSPEC 4C, 9 with Parrot Sequoia, 2 with Slant Range P3, with 5 DJI Zenmuse X3 NIR, 4with the senseFly Thermo Map and 1 with the RGB Sony WX-220. RGB-depth-thermal (RGBDT) data provides a rich set of applications to autonomous systems such as pedestrian detection, change detection, localization etc. Comparative results for person detection on thermal images. Development. The dataset is collected from seven intersections in the Danish cities of Aalborg and Viborg. The number of thermal images along with their corresponding RGB images of each individual is atleast 20. This page hosts the datasets used the datasets we've been using in our ICCV'07, CVPR'08, and ICRA'09 publications, as well as the newest result videos. Loads CIFAR10 dataset. This project contains data from Libra3D, a funded project having the aim to estimate the body weight of stroke patients for optimized treatment. With this process in place, we acquired our dataset of 894 aligned and annotated RGB-thermal image pairs and 3416 annotated RGB images. Generate a dataset; Train a convolutional neural network (CNN) Try to do something interesting with the model; Dataset. Second, we present PST900, a dataset of 894 synchronized and calibrated RGB and Thermal supports a co-aligned RGB/Thermal camera, RGB stereo, 3D LiDAR and inertial sensors (GPS/IMU) with calibration and synchronization techniques. e. E. to all researchers in the international computer vision communities. , 2017 - process RGB dataset as usual, - rename the "thermal" images according to the RGB images (and converting to JPG as well), put them to the separate folder, - use Change Path option in the processed chunk and swap paths to the Process dataset with both thermal and RGB imagery (A better 3D mesh/ model) Thermal cameras usually have much lower resolution than RGB cameras, and thus the 3D model is of much lower quality. We propose a novel RGB-Depth-Thermal dataset along with a multi-modal seg- mentation baseline. 5 (radiometric thermal sensor) • Anthropometric measurements: Overall, the dataset contains 12051 daytime and 8596 nighttime time-synchronized images using a stereo RGB camera rig (FLIR Blackfly 23S3C) and a stereo thermal camera rig (FLIR ADK) mounted on the roof of our data collection vehicle. The scene categories are: country, field, forest, indoor, mountain, oldbuilding, street, urban, water. A DJI Mavic 2 Enterprise Dual will give you the thermal and RGB data you need and is compatible with DroneDeploy’s Thermal Live Map. A semi-automated workflow to count individual penguins using a fusion of multispectral and thermal imagery was developed and combined into a GIS workflow. In this context, we also present a novel target-less calibration method that allows for automatic robust extrinsic and intrinsic thermal camera calibration. The link to the challenge is: The dataset can be downloaded from here. With the availability of RGB-D sensors, Liu et al. The dataset can be used as visual references to label the thermal training dataset. In partnership with FLIR Systems, the world’s largest supplier of thermal imaging technology, Raptor Maps recently hosted a webinar to cover the basics of inspecting solar farms with drones. The spectral resolution of a dataset that has more than one band, refers to the spectral width of each band in the dataset. Flir One (thermal + RGB) Xenmuse XTR (thermal + thumbnail, set the subject distance to 1 meter) AX8 (thermal + RGB) Other cameras might need some small tweaks (the embedded raw data can be in multiple image formats). This dataset serves as a way to experiment with infrared images in Roboflow. We prepared pixel-accurate annotation for the same training and test set. Also, it might be the case that RGB or thermal outperforms another algorithm in some scenarios. Financial support was partially provided from a QNRF grant. To see an example of this, check out the band widths for the Landsat sensors. OCID semantic crops Cropped objects from the ARID20 and ARID10 subset of OCID dataset, containing RGB and depth data organized according to the instance and category of the object. With the segmentation method, we propose a multi-modal hand activity video dataset with 790 sequences and 401,765 frames of “hands using tools” videos captured by thermal and RGB-D cameras with hand segmentation data. This dataset contains a high quality operational Environmental Data Record (EDR) that contains pinpoint locations of active fires (AF) as identified by an algorithm based on the Moderate Resolution Imaging Spectroradiometer (MODIS) Fires and Thermal Anomalies Collection 6 product, but improved upon and adapted for use by the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi-NPP satellite. Each processed by FCN with ResNet backbone (Adapnet++ architecture) Extension of Mixture of Experts : Middle : Six datasets, including Cityscape, Sun RGB-D, etc. The KAIST Multispectral Pedestrian Dataset consists of 95k color-thermal pairs (640x480, 20Hz) taken from a vehicle. SODA Dataset [Google drive] The KAIST Multispectral Pedestrian Dataset consists of 95k color-thermal pairs (640x480, 20Hz) taken from a vehicle. The sample dataset contains both RGB and thermal images, as well as a don't care mask, a calibration file, and sample annotations of the vehicles in the scene. The images were captured using separate exposures from modified SLR cameras, using visible and NIR filters. Published in Proceedings of the 34th AAAI Conference on Artifical Intelligence (AAAI2020), 2020. Finally, we compare the performance of the object proposals and a detection baseline to the Washington RGB-D Scenes (WRGB-D) dataset [15] and demonstrate that our Kitchen scenes dataset is more challenging for object detec-tion and recognition. The testing set includes 3803 thermal images for query and 301 randomly selected samples from all A multi-sensor dataset for the estimation of anthropometric measurements and soft biometrics • 30 subjects • 5 in-car sequences • 3 outdoor sequences • Two synchronized devices: • Pico Zense DCAM7101 (ToF, RGB+IR+DEPTH) • Flir PureThermal 2 with Flir Letpon 3. Thermal image only has one channel. Ground Truth Annotation We needed ground truth bounding-box annotations for each image in order to train our Fast R-CNN model. The dataset may be used for evaluation of methods for different applicati depth video kinect tracking location reconstruction: link: 2020-03-16: 1549: 182: MSR Action: The MSR Action datasets is a collection of various 3D datasets for Satellite imagery from the Landsat 8 and Sentinel-2 satellites, aligned to a common grid and processed to compatible color spaces. The datasets contain a total of 21499 images. Zurich Summer Dataset. Multi-modal RGB–Depth–Thermal Human Body Segmentation. Grass Clover Dataset. An increasing interest in self-driving vehicles has brought the adaptation of semantic segmentation to self-driving systems. /rgb_mask. We first address the problem of RGB-thermal camera calibration by proposing a passive calibration target and procedure that is both portable and easy to use Second, we present PST900, a dataset of 894 synchronized and calibrated RGB and Thermal image pairs with per pixel human annotations across four distinct classes from the DARPA The dataset comprises approximately 2 h of raw sensor data from a tractor-mounted sensor system in a grass mowing scenario in Denmark, October 2016. (Kenneth Funes and Jean-Marc Odobez) [Before 28/12/19] • Dataset: KAIST Multi-spectral Pedestrian Dataset • Night-time driving in campus, urban and downtown localities • Training Data: ~7,200 thermal and RGB pairs • Network Training: Nvidia Titan X GPU with Caffe • Pre-training on Caltech Ped Dataset (~14 hours) • Training on KAIST Dataset (~3 hours) EXPERIMENTAL EVALUATION The RGB image and the thermal image are taken by the dataset. Share the outcome with colleagues or clients and export your dataset for further processing with 3rd party applications. If you do not have your own dataset, or just want to try the program on a small dataset, you can download a sample dataset here. The dataset also has bounding box labels for some objects The dataset contains the thermal and the corresponding RGB facial images of 125 individuals. The training set includes 296 identities, the validation set includes 99 identities and the testing set includes 96 identities. It is the third in a series of thermal imaging datasets for machine vision testing. In this context, we also present a novel target-less calibration method that allows for automatic robust extrinsic and intrinsic thermal camera calibration. Conclusion. Two analysts conducted manual counts from synoptic RGB UAS imagery. ContactDB includes 3,750 3D meshes of 50 household objects textured with contact maps and 375K frames of synchronized RGB-D+thermal images. In this paper, a Thermal to RGB Generative Adversarial Network (TRGAN) to automatically synthesize face images captured in the thermal domain, to their RBG counterparts, with a goal of reducing current inter-domain gaps and significantly improving cross-modal facial recognition capabilities is proposed. Finally, two applications Requirements #1 Multispectral (RGB-Thermal) dataset RGB stereo pair Alignment between thermal and RGB(left) 3D measurement Yukyung Choi et al. Gebhardt and M. thermal images, we labeled the bounding box of the per-son and 5 joints (Neck, L-Elbow, L-Shoulder, R-Elbow, R-Shoulder)asseeninFigure2. We first address the problem of RGB-thermal camera calibration by proposing a passive calibration target and procedure that is both portable and easy to use. /rgb_geotiff_plots. Thermal-RGB Road Segmentation Dataset - Synchronized and aligned thermal-rgb imaging dataset for road segmentation First, given a multimodal dataset, a deep convolutional network is employed to learn a non-linear mapping, modeling the relations between RGB and thermal data. 23 object instances in total across scenes. The novelty of the proposed method lies in the utilization of on-line road initialization with a highly scene-adaptive sampling mask. The attacks have been created from custom silicone masks. With the availability of good training datasets such us the SPIKE dataset proposed in this article, deep learning techniques can achieve high accuracy in detecting and counting spikes from complex wheat field images. The color-thermal dataset is as large as previous color-based datasets and provides dense annotations including temporal correspon- dences. ResNet 101 [72] backbone, and YOLOv3 [11] without chang-ing the original architecture on 4,270 thermal images from our dataset for 9 RGB-D kitchen video sequences with 1920x1080 resolution. bsq: RGB orthomosaic from overlapping DSLR photography - "name of site"_mca_3cm. To our best knowledge, we are the fi to learn robust RGB-T Thermal images have a wide array of applications: monitoring machine performance, seeing in low light conditions, and adding another dimension to standard RGB scenarios. By far the largest dataset on this list, the UMDFaces dataset has over 367,000 face annotations across over 8,200 different subjects in still images. Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 14,353 annotated thermal images to increase testing and evolving convolutional neural networks (CNN). The eXtended Custom Silicone Mask Attack Dataset (XCSMAD) consists of 535 short video recordings of both bona fide and presentation attacks (PA) from 72 subjects. As listed above, several datasets have contained environ-mental variations with different sensor sequences. The presented database contains thermal images (thermograms) of the plantar region. of the dataset or on synthetically composited training im-ages. Thermal images are captured via thermographic cameras, which are devices capable of sensing this radiation in the form of infrared light. Goal Our overall goal is to facilitate the development of novel computational methods for measuring and analysing the behavior of children and adults The main objective of this study, however, was to classify three commonly used roofing materials: Cement tiles, Colorbond and Zincalume by combining the multispectral and thermal infrared image bands while the high-resolution RGB dataset was used to provide additional information about the roof texture. 17th 2017, with a RGB camera (FLIR Grasshopper 5M) and a thermal camera (FLIR AX65). Berg et al. Virtual Sensor Dataset 1: Deriving RGB-to-IR mapping models. FLIR Thermal dataset is a dataset of research data provided by FLIR. Some of the codes are borrowed from MFNet . Thermal Image. Once this works, you might want to try the 'desk' dataset, which covers four tables and contains several loop closures. Analysis: Demonstrate the influence of object shape, size On Tuesday, February 7, Landsat 7’s Flight Operations Team fired the spacecraft’s 1-pound thrusters for about 13 minutes. We labelled 1000 thermal images, and found the corre- RGB-Thermal (RGB-T) object tracking receives more and more attention due to the strongly complementary benefits of thermal information to visible data. upenn. including solar thermal Thermal imaging has become a valuable tool in vari-ous fields for remote sensing and can provide relevant in-formation to perform object recognition or classification. 4m. PST900: RGB-Thermal Calibration, Dataset and Segmentation Network, January 19th, 2021 The test-dev dataset has been released on February 16th, 2020. Triggering reliable events based on the presence of people has been the dream of many geeks and DIY automators for a while. This project is not associated with the Department of Energy. The dataset may contain thermal images of humans captured in various scenarios while walking, running, or sneaking. The KAIST Multispectral pedestrian dataset contains aligned and dually annotated color-thermal pairs of pedestrians with bounding boxes. To the best of our knowledge, this is the first large-scale dataset that records detailed contact maps for functional human grasps. Designed to help researchers, developers and auto manufacturers enhance and accelerate work on safety, advanced driver assistance-systems (ADAS), automatic emergency braking (AEB) and autonomous vehicle (AV) systems, the dataset features The usage of both off-the-shelf and end-to-end trained deep networks have significantly improved the performance of visual tracking on RGB videos. A. Annotations are made per-pixel and each set of rgb, thermal and label is verified by the authors for accuracy. This research lies at the intersections of medicine, psychology, machine learning, optics, and affective computing. This work addresses the problem of human body segmentation from multi-modal visual cues as a first stage of automatic human behavior analysis. Shivakumar) or rodri651@seas. Learning Collaborative Sparse Representation for Grayscale-thermal Tracking. We will build a challenge server on CodaLab which will be open for submission soon afterwards. Also it will allow a large spectrum of IEEE and SPIE vision conference and workshop Code for thermal to visible image registration. Second, we provide a detailed description of the related benchmarks and challenges. The RGB-D images were captured using For each pose and with a single shot we captured four images that are associated with the Green/Blue, Red, IR, and RGB/Color-IR (combined) component respectively (360 images in total). Three types of image segmentation approaches were evaluated to RGB-Thermal (RGB-T) object tracking receives more and more attention due to the strongly complementary benefits of thermal information to visible data. Each folder name is the collar id of the cattle and contains its respective thermal and RGB images. In this case, we can depend only on RGB or thermal by adjusting weight threshold. To generate the thermal 3D Textured Mesh, open Processing Options > 2. This dataset contains more than 1,000 paired RGB and in-frared images among six ship categories - merchant, sailing, passenger, medium, tug, and small - which are salient for control and following maritime traffic regulations. All VOT2019 datasets are available through the VOT toolkit. The FLIR starter thermal dataset enables developers to start training convolutional neural networks (CNN), empowering the automotive community to create the next generation of safer and more efficient ADAS and driverless vehicle systems using cost-effective thermal cameras from FLIR. Sun et al. The recordings used to be captured in the LWIR segment of the electromagnetic The data set consists of 1237 pairs of thermal and RGB (640 x 320 pixels and 320 x 240 pixels) images with 136 classes (i. eud - process RGB dataset as usual, - rename the "thermal" images according to the RGB images (and converting to JPG as well), put them to the separate folder, - use Change Path option in the processed chunk and swap paths to the thermal dataset (the names should be identical, including the upper/lower case), This work addresses the semantic segmentation of images of street scenes for autonomous vehicles based on a new RGB-Thermal dataset, which is also introduced in this paper. N2 - This work addresses the problem of human body segmentation from multi-modal visual cues as a first stage of automatic human behavior analysis. For my experim e nts I used the FLIR thermal dataset, which has 14k paired RGB and thermal images (split into train and validation sets). Semantic Dataset 1: Understanding Terrain Types from RGB and IR, 2. Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 14,353 annotated thermal images to increase testing and evolving convolutional neural networks (CNN). The trackers work with a 4-channel input composed of RGB+thermal channels. Types of layers when using a mosaic dataset layer in ArcMap. , 2019 Visual camera, thermal camera : Multiple 2D objects in campus environments : RGB image, thermal image. Using this setup, it is possible to run the fully automated process that annotates the thermal images and creates the automatically annotated thermal training dataset. Videos have been recorded in RGB (visual spectra), near infrared (NIR), and thermal (LWIR) channels. Dense 3D point clouds for each scene. The categories include computerized sketches, thermal, thermal cropped, three dimensional, Lytro, 2D RGB around, 2D RGB emotion, night vision, and video. Subsets of UNIRI-TID dataset. upenn. This is very useful in determining the true positives. We don't want to use RGB-D images. The images were taken in a variety of driving environments in each city, including various lighting and weather Datasets. The complexity of the dataset is limited to 20 classes as listed in the following table. Fall detection Dataset. Using this setup, it is possible to run the fully automated process that annotates the thermal images and creates the automatically annotated thermal training dataset. Weusedthenearestneighbor depth image as a feature, without any labeling, since we be-lieve that pose is clearer in thermal images. Within less than 96 h of a small (< 1. The motion is relatively small, and only a small volume on an office desk is covered. [14], the Cambridge Hand Gesture Dataset (CHGD), is an RGB dataset with 9 classes of hand gestures. zip. M. IEEE Transactions on Image Processing (T-IP), 25(12): 5743-5756, 2016. This paper presents all-day dataset of paired a multi-spectral 2d vision (RGB-Thermal and RGB stereo) and 3d lidar (Velodyne 32E) data collected in campus and urban environments. However, the lack of large labeled datasets hampers the usage of convolutional neural networks for tracking in thermal infrared (TIR) images. The RGB and depth video frames are 640x480 pixels each, and the thermal video frames are 160x120 pixels each. The relevance of this database consists in to study how the temperature is distributed in the plantar region of both groups and how their differences can be measured. RGB imaging for facial emotion recognition. 3m 3 local 3D patch around the interest point onto the image plane. The here presented datasets contain data from RGB-D sensors, fused with data from a thermal camera. The input to the algorithm is a single frame of thermal image with 24*32 resolution. This dataset was recorded using a Kinect style 3D camera that records synchronized and aligned 640x480 RGB and depth images at 30 Hz. py; Denoise an image with denoise_image. VAP Trimodal People Segmentation Dataset: RGB-D-T images of people in three indoor scenarios. Over all days, we Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 3,895 annotated thermal images to increase testing and evolving Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 3,895 annotated thermal images to increase testing and evolving convolutional neural networks (CNN). The differences are staggering: I trained the optical model on more than ten thousands 640x480 images taken all through a week in different lighting conditions, while I trained the thermal camera model on a dataset of 900 24x32 images taken during a single day. The ccorresponding RGB images were also given in the '01 RGB Images' file. A light in many applications, we construct a multi-spectral dataset containing both near-infrared (NIR) and regular RGB images in this work. Artifacts incorrectly labeled or missed artifacts are sent back for re-labeling and re-verification. Overview: The datasets that are used for the simulation purpose are raw RGB and Depth images of size 320x240 recorded from a single uncalibrated Kinect sensor after resizing from 640x480. This data set contains about one million thermal/RGB image pairs, representing a 2016 aerial survey of sea ice habitat in U. After a pause of about 7½ hours, the thrusters fired a second time for about 13 minutes. I have some thermal images that i would like to apply facial recognition using facial landmarks, i originally tried using the shape predictor for RGB images, but it won't detect thermal faces. International Journal of Computer Vision, pp 1-23. Thermal image only has one channel. The several modalities are registered us- ing a calibration device and a registration algorithm. Dataset Download Dataset Download We recommend that you use the 'xyz' series for your first experiments. It has 2 datasets; 1. Existing deep Thermal InfraRed (TIR) trackers usually use the feature models of RGB trackers for representation. Wolf, “CAMEL Dataset for Visual and Thermal Infrared Multiple Object Detection and Tracking,” IEEEInternational Conference on Advanced Video and Signal-based Surveillance (AVSS), 2018. And in September 2017, it announced its first VGA sensor designed The LIRIS human activities dataset contains (gray/rgb/depth) videos showing people performing various activities taken from daily life (discussing, telphone calls, giving an item etc. waters of the Chukchi Sea, conducted by NOAA fisheries. For example, the PolyU-NIRFD dataset [22] for face recognition, the NIR-RGB dataset [21] for scene categorization. The Plant Seedlings Dataset contains images of approximately 960 unique plants belonging to 12 species at several growth stages. The images were taken in a variety of driving environments in each city, including various lighting and weather This page is for a small dataset featuring structure ground truth, vicon poses, and colored RGB pointclouds of a small indoor scene with a cow, mannequin, and a few other typical office accessories. Multi-Sensor Imaging Dataset for Autonomous Driving Day and Night - Driving scene dataset of the calibrated stereo-vision, thermal camera, velodyne, gps, imu - Large-scale day and night multi-sensor dataset. It is assumed that two datasets are given, one containing RGB high resolution images and one containing thermal infrared (TIR) images. CNNs are quite powerful but without data, there is not much you can do. This data set contains about one million thermal/RGB image pairs, representing a 2016 aerial survey of sea ice habitat in U. The objects are organized into 51 categories arranged using WordNet hypernym-hyponym relationships (similar to ImageNet). The RGB and thermal point clouds are generated indepen- different datasets, including the ARL Visible-Thermal Face Dataset (ARL-VTF) presented in this paper. The following gallery gives an overview of the datasets (hover over image to see several snapshots from the sequence, click to view sequence details). The Harmonized Landsat Sentinel-2 (HLS) product includes data from the Landsat-8 and Sentinel-2 satellites, aligned to a common tiling system at 30m resolution, from 2013 to the present for Landsat and 2015 to the present for Sentinel-2. 9 M RGB-D images from 3 viewpoints, and object pose and 3D hand joints for each frame. Train an object detection model on the FLIR dataset, which should achieve the same mAP(mean average precision) as the baseline model or to-thermal image translation and ReID, (2) a large-scale multispectral Thermal-World dataset with two splits: ReID with 15118 color-thermal image pairs and 516 person ID, and VOC with 5098 pairs color-thermal image pairs with ground truth pixel-level object annotations of ten object classes, (3) an evaluation of approach is thermal imagery, as it allows for an efficient detection of humans due to their heat signatures. Balajee Kannan, Freddie Dias, Victor Marmol, Jimmy Bourne, and Dominic Jonak. waters of the Chukchi Sea, conducted by NOAA fisheries. In this work we propose long wave infrared (LWIR) imagery as a viable supporting modality for semantic segmentation using learning-based techniques. To provide a thorough review of multi-modal track-ing, we summarize the multi-modal tracking algorithms, especially visible-depth (RGB-D) tracking and visible-thermal (RGB-T) tracking in a unified taxonomy from different aspects. tif in the RGB Geotiff dataset, an image with black pixels representing areas that contain soil and not plants. This work contributes such a RGB-T image dataset, which includes 821 spatially aligned RGB-T image pairs and their ground truth annotations for saliency detection purpose. This was the last such maneuver for Landsat 7 and the beginning of the end for the satellite, which has provided images of the earth’s changing resources for more than 17 years. In the image above, a band was defined as spanning 800-810 nm. Its positive aspect is the parallel availability of RGB and thermal images which current record holders16 exploit by using both spectral domains in parallel for person detection. Multimodal RGB-Thermal Datasets and Calibration While unimodal datasets with images in the visible domain are prevalent in computer vision research, some datasets have been proposed that entail aligned RGB-thermal image pairs. S. The thermal sensor will work only if there is di erence between temperature of human body and the environment. Note that our implementations of the evaluation metrics (Acc and IoU) are different from those in MFNet. P. Conversion Matrix; The equation used to perform this conversion is: Output Band_R = Weight_P * Band_C. 1. RGB-D + thermal camera calibrated rig. Thermal technology is especially valuable to them, so they can locate survivors and determine if a building is safe to enter or detect animals at risk. 2MB Input Raster—This can be a raster dataset within a mosaic dataset or raster catalog, or a raster dataset outside the mosaic dataset. edu or kalexis@unr. One dataset is recorded after the other one. With this dataset, we introduce multispectral ACF, which is an extension of aggregated channel features (ACF) to simultaneously handle color-thermal image pairs. The dataset contains 2D RGB-D patches and 3D patches (local TDF voxel grid volumes) of wide-baselined correspondences, which are sampled from our testing split of the RGB-D reconstruction datasets. Test experimental results have shown significantly improved performance of human detection in thermal imaging in terms of average precision for trained YOLO model over the original model. The RGB image can be decomposed into red, green and blue channels. Integrating multiple different but complementary cues, like RGB and Thermal (RGB-T), may be an effective way for boosting saliency detection performance. Multispectral image consists of a concatenation of three channels of RGB image and one channel of thermal image. The database was obtained from 122 subjects with a diabetes diagnosis (DM group) and 45 non-diabetic subjects (control group). The RGB-D Object Dataset is a large dataset of 300 common household objects. We add RGB imagery to address the lack of information about the surroundings of thermal images. e. With this benchmark, we propose a novel approach, graph-based multi-task manifold ranking algorithm, for RGB-T saliency detection. 10. py (requires a trained model such as the aforementioned or this one) See also: Category:Natural Image Noise Dataset Organize, review, and document your flights into a single project combining RGB, thermal, and flight data. Today the Landsat satellites image the entire Earth's surface at a 30-meter resolution about once every two weeks, including multispectral and thermal data. : Thermal Object Detection in Difficult Weather Conditions Using YOLO TABLE 2. Tony Stentz, Dr. ContactDB includes 3750 3D meshes of 50 household objects textured with contact maps and 375K frames of synchronized RGB-D+thermal images. In all cases, data was recorded using a pair of AVT Marlins F033C mounted on a chariot respectively a car, with a resolution of 640 x 480 (bayered), and a framerate of 13--14 FPS. Dataset is possible due to help from the rCommerce laboratory members: Prof. We collected 94, 986 high-quality aerial images from 3, 432 farmlands across the US, where each image consists of RGB and Near-infrared (NIR) channels with resolution as high as 10 cm per pixel. These dataset was filmed on the road using an RGB camera and a thermal imaging camera, allowing developers to train the neural network, creating a safe and efficient next-generation ASAD and automonomous vehicle system. Therefore, most state-of-the-art methods on tracking for TIR data are still based on handcrafted features In this paper, we present a drivable region detection algorithm designed for thermal-infrared cameras in order to overcome the aforementioned problems. However, the lack of large labeled datasets hampers the usage of convolutional neural networks for tracking in thermal infrared (TIR) images. The total number 1of thermal images is 2500 (≳) and their corresponding RGB images is 2500 (≳). Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 14,353 annotated thermal images to increase testing and evolving convolutional neural networks (CNN). Our experiments used two datasets of thermal images of faces. 0 dataset is a collection of 20 chips (crops), taken from a QuickBird acquisition of the city of Zurich (Switzerland) in August 200 annotation, urban, pan, gsd, superpixel, nir, aerial, satellite, segmentation, zurich, rgb, city, semantic <p>This dataset consists of 477 images in 9 categories captured in RGB and Near-infrared (NIR). In this paper, The RGB image and the thermal image are taken by the dataset. Several dataset containing NIR images have been presented before. Above that, the amount of details that are visible in the RGB image data increased the RGB image, thermal image, depth image. Thermal images have a wide array of applications: monitoring machine performance, seeing in low light conditions, and adding another dimension to standard RGB scenarios. Both sets are taken by camera systems mounted on a fly-ing platform. All the pairs are manually annotated (person, people, cyclist) for the total of 103,128 dense annotations and 1,182 unique pedestrians. To find these ground truth bounding boxes for all hands or partial hands, 2 Figure 2. First Person, CCTV, Satellite Points of View Camera Sensors (RGB, PAN, LiDAR, Thermal) and full-body gesture datasets. These two databases are publicly available benchmark dataset for testing and evaluating novel and state-of-the-art thermal face recognition algorithms. full frontal, and left/right at +/−67. Compared with other existing RGB-T datasets [1, 28, 40], the new one has suf-fi big size, highly-accurate alignment between RGB-T se-quence pairs, and the annotated occlusion levels. S. This is a publicly available benchmark dataset for testing and evaluating novel and Several researchers and students have requested a benchmark of non-visible (e. Over all days, we successfully captured 50km sequences of synchronized multiple sensors at 25Hz using a fully aligned visible and thermal device, high resolution stereo visible cameras, and high accuracy GPS/IMU inertial navigation system. Our dataset provides many more samples, action classes, human subjects, and camera views in comparison with other available datasets for RGB+D action recogniton. However, none of the datasets have full potential for covering any motion in an unspecified natural environment. For each file ending in *_left_mask. The usage of both off-the-shelf and end-to-end trained deep networks have significantly improved the performance of visual tracking on RGB videos. Point Cloud and Mesh > Advanced and select Thermal as a source of information for the Mesh Texture. , KAIST Multispectral Recognition Dataset in Day and Night, TITS’18 11. You can try this out with your dataset and check out the results. e. The datasets can be downloaded using the following link as a RAR file (58MB): MYamanSKalkan_Multi-Modal_Stereo_Datasets. This dataset contains 4381 thermal infrared images containing humans, a cat, a horse and 2418 background images (no annotations). This is an odd design choice by FLIR, since both cameras can presumably be hardware co-triggered. We pro-vide baseline results on this dataset using two off-the-shelf Thermal and RGB Synchronisation¶ One of the most frustrating “features” of the Duo Pro R is that the infrared and RGB cameras are not synchronised in video mode. For example, synthetic data generation methods are used to convert widely available labelled RGB pictures to thermal datasets. In contrast, this work will only use the thermal images from the KAIST dataset to show the benefit of the proposed methods in thermal-only scenarios. Kristo et al. It contains a diversity of participants, head poses, gaze targets and sensing conditions. Getting started with sample dataset. When you add a mosaic dataset to ArcMap, it is added as a mosaic layer that appears in the table of contents as a special group layer with a minimum of three layers: Boundary, Footprint, and Image. Agriculture-Vision: a large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns. Today the Landsat satellites image the entire Earth's surface at a 30-meter resolution about once every two weeks, including multispectral and thermal data. We gathered the dataset over an extended duration in August of 2015 using a roof-mounted recording platform on a sport-utility vehicle (SUV). This dataset contains 287,628 RGB images and 15,792 IR images. The Visual Object Tracking challenge for RGB and Thermal imagery. The Zurich Summer v1. Returns. The resolution of both cameras are 640x480 pixels and the frame rate is fixed at 20 frames/second. We make the following contributions in this paper: Dataset: Present a dataset recording functional human grasping consisting of 3750 meshes textured with contact maps and 375K frames of paired RGBD-thermal data. For the SWIR Dataset , we acquired face images at three different poses, i. This includes RGB, depth, 2d-label masks and groundtruth annotated point-cloud data. The GrassClover dataset is a diverse image and biomass dataset collected in an outdoor agricultural derived from RGB image alignment significantly improved thermal image alignment in all datasets. [22] shows the use of thermal sensors and grey scale images to detect people in a mobile robot. Find datasets from the Department of Energy to hack on your latest project. The dataset is divided into 8 sequences and contains both 16bit (may appear black on most screens) images as well as the downsampled 8bit images. The RGB image can be decomposed into red, green and blue channels. rar The synthetically-modified dataset is made available thanks to the the Middlebury Stereo Evaluation Graphical interface used to define areas of interest by selecting an area on the map, or entering an address, zip code, or by place name. In addition, we build a new comprehensive dataset for RGB-T tracking purpose, and plan to open it to public. , for object detection. Examples (…)</p> OCID dataset OCID dataset containing the subsets ARID20, ARID10, and YCB10. The resolution of thermal recordings is small in comparison to RGB images and a loss of data in the edges of frames adds up to this. The Harmonized Landsat Sentinel-2 (HLS) product includes data from the Landsat-8 and Sentinel-2 satellites, aligned to a common tiling system at 30m resolution, from 2013 to the present for Landsat and 2015 to the present for Sentinel-2. FLIR Systems’ European thermal imaging regional dataset is now available. Comparison between NTU RGB+D dataset and some of the other publicly available datasets for 3D action recognition. Last updated: 2019-04-16 thermal or RGB-D camera, the resulting estimation runs the risk of not fully achieving desirable accuracy. Our baseline extracts regions of interest using background The proposed system uses the RGB camera, thermal camera, 3D LiDAR, and the pre-trained neural network that detects objects in the RGB domain. In this paper, we propose a large-scale video benchmark dataset for RGB-T tracking. The ManiGaze dataset was created to evaluate gaze estimation from remote RGB and RGB-D (standard vision and depth) sensors in Human-Robot Interaction (HRI) settings, and more specifically during object manipulation tasks. Semantic Segmentation. Explore how senseFly drone solutions are employed around the globe — from topographic mapping and site surveys to stockpile monitoring, crop scouting, earthworks, climate change research and much more. However, there were not found works using CNN to classify objects at the sea in aerial thermal imagery and this is particularly important in night time low visibility SAR operations. ). Such video datasets are essential to compare newly developed methods with state-of-the-art solutions. UMDFaces. For each RGB Geotiff image, a Geotiff file with the same dimensions as the plot. In addition to images, we recorded the GPS/IMU data and LiDAR point clouds. Table 1: Semanic classes of the Drone Dataset FLIR Thermal Dataset for Autonomous vehicle. The Kinect sensor is fixed at roof height of approx 2. bsq: thermal image mosaic These datasets are provided in the Exelis IDL/ENVI band sequential Self-driving car datasets aren’t exactly a rare commodity — just this summer, Oregon-based Flir Systems released 10,000 labeled photos captured by its thermal camera system, Mapillary published MSR RGB-D 7-Scenes: The MSR RGB-D Dataset 7-Scenes dataset is a collection of tracked RGB-D camera frames. , the same kind of trackers as the VOT-ST2020 subchallenge. NTU RGB+D 56880 60 40 80 Kinect v2 RGB+D+IR+3DJoints 2016 Table 1. Air temperature correction had a small yet positive impact on image alignment in the low-contrast agricultural dataset, but a minor effect in the afforestation area. There is a further subset of this called the IIITD In and Beyond Visible Spectrum Disguise database, which includes both visible and thermal versions of the images. Introduction RGB-D(-T) Datasets for Body Weight Estimation of Stroke Patients from the Libra3D Project / Dataset from LNDW containing RGB-D-T Data from Kinect and Thermal Camera 98. For more info on NIR photography, see the references below. Furthermore, due to a lack of thermal data for autonomous driving, we present a new dataset comprising over 20,000 time-synchronized and aligned RGB-thermal image pairs. For every image of the RGB dataset there exists one corresponding integration of heterogeneous data modalities beyond RGB and depth. Sensor used - FLIR E40 The RGB and depth video frames are 640x480 pixels each, and the thermal video frames are 160x120 pixels each. Despite significant progress, image saliency detection still remains a challenging task in complex scenes and environments. py which depends on nnModules. Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 14,353 annotated thermal images to increase testing and evolving convolutional neural networks (CNN). Collected primarily in 2002 with visible and LWIR cam-eras, the University of Notre Dame (UND) [5] dataset re-mains as one of the largest datasets in terms of unique iden-tities (with 241 subjects), but has only four images per sub- Google Domains Hosted Site - Egocentric Thermal and RGBD Dataset Collected with FLIR thermal and RGB cameras to identify various attributes of city landscapes, the dataset contains a total of 3,895 annotated thermal images to increase testing and evolving convolutional neural networks (CNN). Commonly, this data is captured in similar perception to how humans see – along the visible red, green, and blue (RGB) color spectrum. Let me know if you succesfully use other cameras so they can be added to this list. /thermal_image: 14 bit raw FLIR Tau2 Core information as a 16UC1 image /rescaled image: image based on expected minima/maxima from the 14 bit to an 8 bit (mono8) image /vn100/uncomp_imu: uncompensated IMU data ; For questions on the data please contact: cpapachricistos@unr. A dataset is the same as in the VOT-LT2019 challenge. One of the initial efforts by Kim et al. Thermal Image Semantic Segmentation. The RGB image and the thermal image are taken by the dataset. Multispectral image consists of a concatenation of three channels of RGB image and one channel of thermal image. This paper presents all-day dataset of paired a multi-spectral 2d vision (RGB-Thermal and RGB stereo) and 3d lidar (Velodyne 32E) data collected in campus and urban environments. able dataset of paired visible and infrared ship imagery. We provide manually annotated ground truth for all humans, cat and horse. , infrared) images and videos. The current research in this direction, however, is limited by the lack of a comprehensive benchmark. Annotations indicate the locations of approximately 7000 seals in these images. IIIT-D Kinect RGB-D Face Database - this is a database containing 3D RGB-D images giving face recognition with texture and attribute features. We extensively evaluate the proposed method on three benchmark datasets, including two RGB-D object datasets and one thermal/visible face dataset. I’m sure it is possible to find a good dataset to implement this but one of the objectives was to generate a dataset from scratch. Data set: A readme file describing the data set can be found here. The main reason for the limited number of applications using thermal vision so far is probably the relatively high price of this kind of sensor. That’s it ! We have successfully performed Thermal to Visible Image Registration. Both datasets were collected at JPL Mars Yard on Nov. The MMDB dataset supports a novel problem domain for activity recognition, which consists of the decoding of dyadic social interactions between adults and children in a developmental context. edu (Neil Rodrigues). This is a dataset of 50,000 32x32 color training images and 10,000 test images, labeled over 10 categories. ), an impressive diversity of benchmark datasets are required. The RGB and thermal cameras are placed on a street lamp, observing the traffic from above. See more info at the CIFAR homepage. g. Thermal image only has one channel. Two different multisensor datasets, composed, respectively, of RGB-thermal infrared and RGB-multispectral platforms, were constructed to evaluate the efficacy of the proposed method. The RGB image and the thermal image are taken by the dataset. Citation If you use this data in your research please cite: FREE FLIR Thermal Dataset for Algorithm Training. The FLIR ADAS dataset contains 10,000 bound- ing box labels of pedestrians and cars in thermal cityscape scenes, with unaligned reference RGB imagery additionally given. [16] released the Shefeld Kinect Gesture (SKIG) includes a template-based tracking method designed specifically for thermal in-frared imagery, describes a thermal infrared dataset for evaluation of template-based tracking methods, and provides an overview of the first challenge on short-term, single-object tracking in thermal infrared video. The dataset is available at: http: Multi-Task Driven Feature Models for Thermal Infrared Tracking . An example image from the thermal dataset Objectives. 10-15 object instances per scene. Infrared imaging is useful in security, wildlife detection,and hunting / outdoors recreation. Sensing modalities include stereo camera, thermal camera, web camera, 360 ∘ camera, LiDAR and radar, while precise localization is available from fused IMU and GNSS. bsq: 6-band multispectral image mosaic - "name of site"_tir_10cm. The proposed dataset will consist of 100 high quality, Full HD video sequences (both RGB and Thermal Infrared), spanning multiple occurrences of multi-scale UAVs. Colorbond and Zincalume by combining the multispectral and thermal infrared image bands while the high-resolution RGB dataset was used to provide additional information about the roof texture. For ASPA135, Robinson Ridge, and Red Shed the following datasets were generated: - "name of site"_vis_1cm. VOT RGB thermal and infrared subchallenge (VOT-RGBT2020) VOT-RGBT2020 addresses short-term, causal, model-free trackers, i. Middle column: Right (RGB) camera images. With the explosion of video-based applications (security, traffic, etc. Multispectral image consists of a concatenation of three channels of RGB image and one channel of thermal image. Thermal image datasets are also limited. SUNRGB-D 3D Object Detection Challenge Introduction. We propose a novel RGB–depth–thermal dataset along with a multi-modal segmentation baseline. The usage of both off-the-shelf and end-to-end trained deep networks have significantly improved the performance of visual tracking on RGB videos. 5 degrees. Tampering Detection This is the official pytorch implementation of RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes (IEEE RAL). YOLO is an object detector pretrained on the COCO image dataset of RGB images of various object classes. Repository for PST900 RGB-Thermal Calibration, Dataset and Segmentation Network | C++, Python, PyTorch. Annotations indicate the locations of approximately 7000 seals in… ContactDB is a dataset of contact maps for household objects that captures the rich hand-object contact that occurs during grasping, enabled by use of a thermal camera. The dataset was conceived for classication of hand shapes and hand motions. , 2018 Vision camera, thermal camera : 2D Pedestrian : RGB image, thermal image. This work EYEDIAP dataset - The EYEDIAP dataset was designed to train and evaluate gaze estimation algorithms from RGB and RGB-D data. Novel methods should be developed to deal with these problems in order to incorporate thermal solutions in real-world applications. X Download Level-1 scene bundle (all bands)-or-individual bands: X Download Level-2 scene bundle (all bands)-or-individual bands: Available in FY 2021 Dataset The dataset consists of 160 high quality, Full HD video sequences (both RGB and Thermal Infrared), spanning multiple occurrences of multi-scale UAVs. datasets of RGB images, but there are also some works using CNN with thermal images, as in [8], to monitor machine health and in [9], to detect pedestrians. thermal rgb dataset