This website provides a list of frequently used computer vision datasets. Wait, there is more!
There is also a description containing common problems, pitfalls and characteristics and now a searchable TAG cloud.
Plus, this is open for crowd editing (if you pass the ultimate turing test)! - Questions? yacvid [at] hayko [dot] at
Content, Design and Idea © by Hayko Riemenschneider, 2011-2016. Texts and Images are subject of copyright by the respective authors.
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«showing 668 tags of 668 total tags for 472 datasets (1.42) »
|473||2015 Dublin LiDAR||2015 Aerial Laser and Photogrammetry Survey of Dublin City Collection Record This record serves as an index to a suite of high density, aerial remote sensing...||laser scan aerial flight urban city dublin pointcloud 3d lidar||link||2018-10-10||14|
|457||Topcoder FMOW - Functional Map of the World Challenge||Intelligence analysts, policy makers, and first responders around the world rely on geospatial land use data to inform crucial decisions about global defense an...||aerial segmentation semantic topcoder rgb satellite urban building||link||2018-04-30||133|
|456||Kaggle dstl satellite||The proliferation of satellite imagery has given us a radically improved understanding of our planet. It has enabled us to better achieve everything from mobili...||aerial segmentation semantic kaggle multispectral rgb satellite panchromatic urban building||link||2018-04-30||133|
|447||WIKI List||A list of machine learning datasets ...||benchmark dataset wiki aerial machine learning||link||2018-04-19||124|
|428||BIM Schependomlaan||Dataset Schependomlaan All data owners have given permission to use the data for scientific and academic purposes. The data is gathered during the master the...||bim aerial urban reconstruction building project drone netherlands||link||2018-02-20||232|
|427||CITY-OSM - ETH Zurich||# Learning Aerial Image Segmentation From Online Maps This is the ground truth data generated for the publication Learning Aerial Image Segmentation F...||semantic computer vision aerial image segmentation map geoscience remote sensing deep learning berlin chicaco paris potsdam tokyo zurich||link||2018-01-25||277|
|422||Air-Ground-KITTI HD Maps||Air-Ground-KITTI dataset consist of annotated aerial and ground images used in the experiments is provided at downloads. Examples of the dataset. Left: aeria...||segmentation benchmark aerial urban satellite street road kitti hd||link||2018-04-30||387|
|419||UC Merced Land Use Dataset||The UC Mercet dataset is a 21 class land use image dataset meant for research purposes. There are 100 images for each of the following classes: agricultural ...||semantic segmentation classification aerial land building urban||link||2017-11-28||299|
|409||NII Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection||We present Okutama-Action, a new video dataset for aerial view concurrent human action detection. It consists of 43 minute-long fully-annotated sequences with 1...||action detection aerial view uav drone pedestrian multi-human tracking||link||2017-09-20||563|
|407||Inria Aerial Image Labeling||The Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). Dataset feature...||semantic segmentation aerial urban city groundtruth building footprint house||link||2018-03-22||519|
|404||Zurich Summer Dataset||The Zurich Summer v1.0 dataset is a collection of 20 chips (crops), taken from a QuickBird acquisition of the city of Zurich (Switzerland) in August 2002. Quick...||satellite segmentation semantic aerial urban city zurich pan nir rgb gsd superpixel annotation||link||2017-09-12||376|
|395||AWS Public Datasets||AWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have required hour...||amazon aerial classification deep learning segmentation recognition satellite human biology space image resolution||link||2018-04-30||587|
|331||EuRoC MAV Dataset||This web page presents visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV). The datasets contain stereo images, synchronized IMU measuremen...||aerial vehicle, indoor, global shutter, slam||link||2017-11-28||1227|
|285||ISPRS-EuroSDR Multi-Platform||ISPRS / EuroSDR Benchmark for Multi-Platform Photogrammetry In these pages you can get information about the BENCHMARK FOR MULTI-PLATFORM PHOTOGRAMMETRY unde...||aerial multiview 3d photogrammetry germany switzerland urban city benchmark reconstruction||link||2015-06-16||873|
|283||ISPRS WG III/4||ISPRS Test Project on Urban Classification, 3D Building Reconstruction and Semantic Labeling. In this part of our working group site you will get further inform...||aerial multiview 3d photogrammetry germany canada semantic segmentation urban city recognition benchmark||link||2015-06-16||932|
|282||ISPRS-EuroSDR HighDensity||ISPRS and EuroSDR - Benchmark on High Density Aerial Image Matching Background and Scope of the project Innovations in matching algorithms as well as the...||aerial multiview 3d photogrammetry germany switzerland urban city benchmark reconstruction||link||2015-06-16||854|
|255||Robotic 3D Scan Repository||The Robotic 3D Scan Repository from Osnabrueck contains 23 different datasets showing a veriaty of 3D scans for objects, humans, cities, university campus, heat...||3d reconstruction scan laser heat urban city human aerial germany bremen lidar osnabrueck||link||2015-04-10||1060|
|152||Colosseum and San Marco||The Colosseum and San Marco are two image datasets for dense multiview stereo reconstructions used for evaluating the visual photo realism. The datasets are ...||3d, reconstruction, landmark, urban, sfm, aerial, street, flickr||link||2017-11-28||1634|
|151||People in WBCN||This dataset is for people tracking in wide baseline camera networks and was designed as a contest at ICPR 2012. The contest consists of two challenges: ...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion, aerial||link||2013-08-02||1666|
|150||SDHA Contest||The Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010. The contest is composed of three different types of activity recognition cha...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion, aerial||link||2013-07-31||1262|
|106||BIWI Walking Pedestrians (EWAP)||The BIWI Walking Pedestrians (EWAP) dataset shows walking pedestrians in busy scenarios from a bird eye view. Manually annotated. Data used for training in our ...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion, aerial||link||2013-08-02||2196|
|83||Ikonos Aerial||Since its launch in September 1999, Space Imaging IKONOS earth imaging satellite has provided a reliable stream of image data that has become the standard for c...||reconstruction, sfm, urban, aerial||link||2013-03-11||1181|
|81||Zurich Hoengg||Zurich Hoengg (Switzerland) is an aerial dataset. The dataset consists of 4 aerial images in colour (Figures 2-5), scanned with 14 microns, the format is Ti...||aerial, semantic, segmentation, outdoor||link||2013-03-11||1047|