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.
Hey! If you're reading this, why not help and update the description of the dataset you're working on?
Add a new dataset
«showing 641 tags of 641 total tags for 457 datasets (1.4) »
|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||147|
|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||221|
|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||349|
|405||SydneyHouse HouseCraft||In HouseCraft, we utilize rental ads to create realistic textured 3D models of building exteriors. In particular, we exploit the address of the property and its...||house urban building city floorplan street semantic segmentation localization registration google sydney||link||2018-01-28||262|
|394||Matterport 2D-3D-Semantics Data||The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. I...||3d panorama semantic segmentation depth normal indoor building reconstruction large-scale||link||2017-07-27||352|
|393||ZuBuD+||ZuBuD+, created in February 2017 by Federico Magliani (University of Parma), introduces many query images balancing the class evaluated from the previous datase...||landmark, building, image retrieval, urban||link||2017-07-17||253|
|295||Rent3D||The Rent3D dataset comprises floorplans and images. The goal of this work is to enable a 3D virtual-tour of an apartment given a small set of monocular images o...||indoor building reconstruction layout floorplan apartment urban||link||2015-07-13||768|
|209||Symmetry Set||The Symmetry set dataset is a collection of images at different illuminations for the purpose of image matching using local symmetry features. Image Matching...||symmetry matching feature image illumination lighting urban building||link||2017-05-03||1053|
|193||City planar and non-planar||The city planar and non-planar datset consists of urban scenes accompanied by text files describing the plane/non-plane locations. Training Set (University)...||plane detection 3d urban building estimation||link||2013-09-23||868|
|186||Symmetry Facades||The Symmetry Facades dataset contains 9 building facades with multiple images. It used for coupled symmetry and structure from motion detection. Coupled Str...||symmetry facade building urban reconstruction sfm 3d repetition||link||2013-09-05||1280|
|158||Caltech Buildings Dataset||The Caltech Buildings dataset consists of images taken for 50 buildings around the Caltech campus. Five different images were taken for each building from diffe...||building urban retrieval hierarchy taxonomy caltech||link||2013-08-08||901|
|126||ISPRS Urban Classification||ISPRS Test Project on Urban Classification and 3D Building Reconstruction The ISPRS working group III/4 announces the release of the 2D semantic labeling ben...||3d, reconstruction, building, urban, city, semantic, classification, recognition||link||2014-11-24||943|
|25||PASCAL VOCs||The PASCAL VOC Challenge datasets by Mark Everingham is a yearly dataset which has a central evaluation server and the final test data is not released. The late...||detection segmentation pose pedestrian chair animal car building airplane||link||2017-03-09||1181|