The Street View House Numbers (SVHN) Dataset. Multiple landcover labels per chip based on CORINE Land Cover (CLC) 2018, 590,326 chips from Sentinel-2 L2A scenes (125 Sentinel-2 tiles from 10 European countries, 2017/2018), 66 GB archive, Paper: Sumbul et al. Weekly Planetscope time-series (3m res.) 15 categories from plane to bridge, 188k instances, object instances and segmentation masks (MS COCO format), Google Earth & JL-1 image chips, Faster-RCNN baseline model (MXNet), devkit, Academic use only, replaces DOTA dataset, Paper: Zamir et al. ), SpaceNet Challenge Asset Library, Paper: Van Etten et al. Paper: Xia et al. In fact, TrajNet is a superset of diverse datasets that requires to train on four families of trajectories, namely 1) BIWI Hotel (orthogonal birds eye flight view, moving people), 2) Crowds UCY (3 datasets, tilted birds eye view, camera mounted on building or utility poles, moving people), 3) MOT PETS (multisensor, different human activities) and 4) Stanford Drone Dataset (8 scenes, high orthogonal birds eye flight view, different agents as people, cars etc. We use variants to distinguish between results evaluated on of provided building footprints (22,553), RGB UAV imagery (4cm res., 7 areas in 3 Carribbean countries), SpaceNet 5: Automated Road Network Extraction & Route Travel Time Estimation (CosmiQ Works, Maxar, Intel, AWS, Sep 2019) Manual labeling & active learning, Paper: Baetens et al. add Spacenet Round 6 - Multi-Sensor All Weather Mapping, Recent additions and ongoing competitions. 2020, IEEE Data Fusion Contest 2022 (IEEE GRSS, Universit Bretagne-Sud, ONERA, ESA, Jan 2022) The IEEE Biomedical Circuits and Systems Conference (BioCAS) serves as a premier international. Aerial imagery (0.13 m res.) 2019. For example, ImageNet 3232 5987 image chips (Google Earth), 7 landcover categories, 166768 labels, 3 cities in China. SpaceNet: Multi-Sensor All-Weather Mapping (CosmiQ Works, Capella Space, Maxar, AWS, Intel, Feb 2020) ), Amazonian rainforest, Kaggle kernels, AID: Aerial Scene Classification (Xia et al., 2017) This repository has been archived by the owner. ), Kaggle kernels, SPARCS: S2 Cloud Validation data (USGS, 2016) Drone imagery (0.1m res., RGB), labels (7 land cover catageories: building, clutter, vegetation, water, ground, car) & elevation data, baseline model implementation. BioCAS 2015 will comprise an excellent combination of invited talks and tutorials from pioneers in the field as well as peer-reviewed special and regular sessions plus live demonstrations. ), USDA Cropland Data Layer as ground truth. 63 categories from solar farms to shopping malls, 1 million chips, 4/8 band satellite imagery (0.3m res. FloodNet (University of Maryland, Jun 2021) : A collection of aerial videos that can be used to train a variety of unmanned autonomous vehicles. 550k building footprints & 4 damage scale categories, 20 global locations and 7 disaster types (wildfire, landslides, dam collapses, volcanic eruptions, earthquakes/tsunamis, wind, flooding), Worldview-3 imagery (0.3m res.
The challenge consists on predicting 3161 human trajectories, observing for each trajectory 8 consecutive ground-truth values (3.2 seconds) i.e., t7,t6,,t, in world plane coordinates (the so-called world plane Human-Human protocol) and forecasting the following 12 (4.8 seconds), i.e., t+1,,t+12. 2020, SEN12MS-CR-TS - Ebel et al. ), 4 global cities, 1 holdout city for leaderboard evaluation, APLS metric, baseline model, SEN12MS (TUM, Jun 2019) Hub users may have access to a variety of publicly available datasets. Denmark: 293 crop/vegetation catgeories, 600k parcels. 41 orthophotos (9000x9000 px) over Poland, Aerial Imagery (25cm & 50cm res. 2000 very high resolution aerial images over 16 cities in France (50cm res., from IGN BDORTHO), 16 landcover categories (Urban, Industrial, Pastures, Forests, etc. its variants. for 5.7 km2 of Munich, Germany. On behalf of the BioCAS 2015 Organizing Committee, This site is created, maintained, and managed by Conference Catalysts, LLC. 2021. : Human-verified labels on approximately 237K segments with 1000 classes are collected from the validation set of the YouTube-8M dataset. Tree position, tree species and crown parameters, hyperspectral (1m res.) Buildings footprints, RGB satellite imagery, COCO data format, SpaceNet 2: Building Detection v2 (CosmiQ Works, Radiant Solutions, NVIDIA, May 2017) MiniFrance (Universit Bretagne-Sud and ONERA, Jul 2020)
It is your responsibility to determine whether you have permission to use the datasets under their license. AFO - Aerial dataset of floating objects (Gasienica-Jzkowy et al, Jun 2020) PASTIS: Panoptic Agricultural Satellite TIme Series (IGN, July 2021) scattered trees), 400k 32x32 pixel chips covering 42 cities (LCZ42 dataset), Sentinel 1 & Sentinel 2 (both 10m res. 2020. 175 globally distributed aois. Maritime object bounding boxes for 1k Sentinel-1 scenes (VH & VV polarizations), ancillary data (land/ice mask, bathymetry, wind speed, direction, quality). 17k aerial photos, 13k cactus, 4k non-actus, Kaggle kernels, Paper: Lpez-Jimnez et al. : (Common Objects in Context) is a large-scale dataset object detection, segmentation, and captioning dataset. Awesome_Satellite_Benchmark_Datasets. ), covering cities in 30 countries, Paper: Helber et al. 6 urban land cover classes, raster mask labels, 4-band RGB-IR aerial imagery (0.05m res.) )., ca. Visdrone-DET validation split comprises 1580 images. Classes: water, natural bare ground, artificial bare ground, woody vegetation, cultivated vegetation, (semi) natural vegetation, and permanent snow/ice. ), LiDAR point cloud and canopy height model, NOAA Fisheries Steller Sea Lion Population Count (NOAA, Jun 2017) It should be noted that the dataset was gathered utilising a variety of drone platforms (i.e., drones of various types), in a variety of settings, and under a variety of weather and lighting circumstances. 13 land cover categories + 4 cloud condition categories, 4-band (RGB-NIR) satelitte imagery (5m res. Multi-View Stereo 3D Mapping Challenge (IARPA, Nov 2016) from Copernicus UrbanAtlas 2012), designed for semi-supervised semantic segmentation.
Check our our latest webinar to learn more! Testing is requested on diverse partitions of BIWI Hotel, Crowds UCY, Stanford Drone Dataset, and is evaluated by a specific server (ground-truth testing data is unavailable for applicants). Airbus Ship Detection Challenge (Airbus, Nov 2018) RoadNet (Wuhan, Oct 2018) BigEarthNet: Large-Scale Sentinel-2 Benchmark (TU Berlin, Jan 2019) Visdrone-DET Dataset Citation Information. 2019, Statoil/C-CORE Iceberg Classifier Challenge (Statoil/C-CORE, Jan 2018)
Local climate zone classification, 17 categories (10 urban e.g.
boxes: tensor representing bounding box for the object of interest. - All rights reserved. ), 122 locations, 22 countries) plane annotations & properties and satellite images. & RGB imagery (0.25m res. Prediction of presence of oil palm plantations, Planet satellite imagery (3m res. Predict building roof type (5 categories, e.g. 180,748 corresponding image triplets containing Sentinel-1 (VV&VH), Sentinel-2 (all bands, cloud-free), and MODIS-derived land cover maps (IGBP, LCCS, 17 classes, 500m res.). 2019. res) timeseries for 2 years, 100 locations around the globe, for building footprint evolution & address propagation. The AISKYEYE team at Tianjin University Lab of Machine Learning and Data Mining has gathered the data for the VisDrone2019 benchmark dataset. 2343 UAV images from after Hurricane Harvey, landcover labels (10 categories, e.g. 2343 image chips (drone imagery), 10 landcover categories (background, water, building flooded, building non-flooded, : A great source of data for a wide range of tasks in autonomous driving. 131k ships, 104k train / 88k test image chips, satellite imagery (1.5m res. road-flooded, ). Road network labels, high-res Google Earth imagery, 21 regions, Paper: Liu et al. ), 12 biomes with 8 scenes each, Paper: Foga et al. A ChemImage Company - 2022 Innotescus, LLC. Building footprints (Rio de Janeiro), 3/8band Worldview-3 imagery (0.5m res. Predict the chronological order of images taken at the same locations over 5 days, Kaggle kernels. Bi-cubicly resampled to same number of pixels in each image to counter courser native resolution with higher off-nadir angles, Paper: Weir et al. It is now read-only. Microsoft BuildingFootprints Canada & USA & Uganda/Tanzania & Australia (Microsoft, Mar 2019) 8 classes (inc. cloud and cloud shadow) for 38 Sentinel-2 scenes (10 m res.). Aircraft bounding boxes, 103 images of worlwide airports (Pleiades, 0.5m res., 2560px). 12.6mil (Canada) & 125.2mil (USA) & 17.9mil (Uganda/Tanzania) & 11.3mil (Australia) building footprints, GeoJSON format, delineation based on Bing imagery using ResNet34 architecture.
2020, iSAID: Large-scale Dataset for Object Detection in Aerial Images (IIAI & Wuhan University, Dec 2019) Open Cities AI Challenge (GFDRR, Mar 2020) . Paper: Gupta et al. compact high-rise, 7 rural e.g. All bands resampled to 20m, stored as numpy arrays. : Search over 585 datasets for machine learning.
slightly different versions of the same dataset. buildings, roads, vegetation). Detection of settlements without electricity, 98 multi-temporal/multi-sensor tiles ( Sentinel-1, Sentinel-2, Landsat-8, VIIRS), per chip & per pixel labels (contains buildings, presence electricity). Airbus Aircraft Detection (Airbus, Mar 2021) ), for a total of 11448 trajectories. 2014, Biome: L8 Cloud Cover Validation data (USGS, 2016) Paper: Paper: Azimi et al. ), Reunion island. The 8-12-value protocol is consistent with the most trajectory forecasting approaches, usually focused on the 5-dataset ETH-univ + ETH-hotel + UCY-zara01 + UCY-zara02 + UCY-univ. & DSM, 38 image patches. 6 land cover categories, 400k 28x28 pixel chips, 4-band RGBNIR aerial imagery (1m res.) 10 land cover classes, temporal stack of hyperspectral Sentinel-2 imagery (R,G,B,NIR,SWIR1,SWIR2; 10 m res.) 10 land cover categories from crops to vehicle small, 57 1x1km images, 3/16-band Worldview 3 imagery (0.3m-7.5m res. Corresponding imagery from drone, satellite and ground camera of 1,652 university buildings, Paper: Zheng et al. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. DroneDeploy Segmentation Dataset (DroneDeploy, Dec 2019) Paper: Castillo-Navarro et al., 2021, LandCoverNet: A Global Land Cover Classification Training Dataset (Alemohammad S.H., et al., Jul 2020) and ImageNet 6464 are variants of the ImageNet dataset. ), multiple AOIs in Tonga, NIST DSE Plant Identification with NEON Remote Sensing Data (inria.fr, Oct 2017) Version 1.0 of the dataset that contains data across Africa, (20% of the global dataset). 2019.
| Privacy | Terms. ), Rotterdam, Netherlands. Land cover classification based on SEN12MS dataset (see category Semantic Segmentation on this list), low- and high-resolution tracks. 1980 image chips of 256 x 256 pixels in V1.0 spanning 66 tiles of Sentinel-2. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets.
60 aerial UAV videos over Stanford campus and bounding boxes, 6 classes (Pedestrian, Biker, Skateboarder, Cart, Car, Bus), Paper: Robicquet et al. Tree position & 4 tree species, RGB UAV imagery (0.4m/0.8m res. 288 video clips composed of 261,908 frames and 10,209 static photos. If you're a dataset owner and do not want your dataset to be included in this library, please get in touch through a. . 2017, EuroSAT (DFK, Aug 2017) ), DSM/DTM, 3 cities, SpaceNet Challenge Asset Library, DSTL Satellite Imagery Feature Detection Challenge (Dstl, Feb 2017) Airbus Wind Turbine Patches (Airbus, Mar 2021) Papers With Code is a free resource with all data licensed under, An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark. Includes clear, cloud and cloud-shadow classes. 2015, UC Merced Land Use Dataset (UC Merced, Oct 2010) Multiple tracks: Semantic 3D reconstruction, Semantic Stereo, 3D-Point Cloud Classification. Please feel free to, Talk Title:"Microengineered tissues for regenerative medicine and organs-on-a-chip applications", IEEE CAS Charles Desoer Life Science Systems Student Attendance Grant, Assistive, Rehabilitation, and Quality of Life Technologies, Bio-inspired and Neuromorphic Circuits and Systems, Biofeedback, Electrical Stimulation, and Closed-Loop Systems, Biomedical Imaging Technologies & Image Processing, Innovative Circuits for Medical Applications, Medical Information Systems and Bioinformatics, Wireless and Energy Harvesting/Scavenging Technology.
Trajnet extends substantially the 5-dataset scenario by diversifying the training data, thus stressing the flexibility and generalization one approach has to exhibit when it comes to unseen scenery/situations. 2018, Urban 3D Challenge (USSOCOM, Dec 2017) ALCD Reference Cloud Masks (CNES, Oct 2018)
2016, Cars Overhead With Context (COWC) (Lawrence Livermore National Laboratory, Sep 2016) Monthly building footprints and Planet imagery (4m. Intelinair, CVPR, Jan 2020) 126k building footprints (Atlanta), 27 WorldView 2 images (0.3m res.)
2020, xView 2018 Detection Challenge (DIUx, Jul 2018) 48k building footprints (enhanced 3DBAG dataset, building height attributes), Capella Space SAR data (0.5m res., four polarizations) & Worldview-3 imagery (0.3m res. All data upsampled to 10m res., georeferenced, covering all continents and meterological seasons, Paper: Schmitt et al. Paper: Rahnemoonfar et al., 2021, PASTIS : Panoptic Agricultural Satellite TIme Series (IGN, July 2021) 2 main categories corn and soybeans, Landsat 8 imagery (30m res. Sentinel-1 & Sentinel-2, 2018. 34701 manually segmented 384x384 patches with cloud masks, Landsat 8 imagery (R,G,B,NIR; 30 m res. 2019 Outcome Part A: Kunwar et al.
157k building footprint masks, RGB orthophotos (0.5m res. 5 sea lion categories, ~ 80k instances, ~ 1k aerial images, Kaggle kernels, Stanford Drone Data (Stanford University, Oct 2016) 10000 aerial images within 30 categories (airport, bare land, baseball field, beach, bridge, ) collected from Google Earth imagery. Draper Satellite Image Chronology (Draper, Jun 2016) Tools. Paper: Shermeyer et al. Citation: Alemohammad S.H., et al., 2020 and blog post, LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands and Water from Aerial Imagery (Boguszewski, A., et al., May 2020) 8000 km of roads in 5 city aois, 3/8band Worldview-3 imagery (0.3m res. ), 5 cities, ISPRS Potsdam 2D Semantic Labeling Contest (ISPRS) Three challenge tracks: Road Extraction, Building Detection, Land cover classification, Paper: Demir et al. Individual tree crown objects, height&area estimates, 100 million instances, 37 geographic sites across the US, DeepForest Python package, Paper: Weinstein et al. Visdrone-DET test-dev split comprises 1610 images. & Hayes D.J. List of satellite image training datasets with annotations for computer vision and deep learning, The list is now archived. from 7-54 degrees off-nadir angle. 2018, Open AI Challenge: Aerial Imagery of South Pacific Islands (WeRobotics & Worldbank, May 2018) List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene classification, other). We are excited to hear from the following at the BioCAS 2015 Gala Dinner Forum, "The most important problems to be tackled by the BioCAS community": Join the following at the BioCAS 2015 Parallel Workshop, "Lessons Learned Along the Translational Highway": Steve Maschino,Cyberonics, Inc., Intermedics, Jared William Hansen, North Dakota State University, Johanna Neuber, University of Texas at Austin, Muhammad Awais Bin Altaf, Masdar Institute of Science and Technology, Piyakamal Dissanayaka Manamperi, RMIT University, Mami Sakata, Yokohama National University, Elham Shabani Varaki, University of Western Sydney, Mahdi Rasouli, National University of Singapore, A Smart Homecage System with Behavior Analysis and Closed-Loop Optogenetic Stimulation Capacibilities, Yaoyao Jia, Zheyuan Wang, Abdollah Mirbozorgi, Maysam GhovanlooGeorgia Institute of Technology, A 12-Channel Bidirectional Neural Interface Chip with Integrated Channel-Level Feature Extraction and PID Controller for Closed-Loop Operation, Xilin Liu, Milin Zhang, Andrew Richardson, Timothy Lucas, Jan Van der SpiegelUniversity of Pennsylvania, A Wireless Optogenetic Headstage with Multichannel Neural Signal Compression, Gabriel Gagnon-Turcotte, Yoan Lechasseur, (Doric Lenses Inc.), Cyril Bories, Yves De Koninck, Benoit GosselinUniversit Laval, 32k Channels Readout IC for Single Photon Counting Detectors with 75 m Pitch, ENC of 123 e- rms, 9 e- rms Offset Spread and 2% rms Gain Spread, Pawel Grybos, Piotr Kmon, Piotr Maj, Robert SzczygielAGH University of Science and Technology, BioCAS 2015 - Atlanta, Georgia, USA - October 22-24, 2015.
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