The ImageNET dataset is the latest dataset by Li Fei-Fei containing various dataset ranging from 1000 to 10000 categories.
This dataset provides a collection of web images and 3D models for research on landmark recognition (especially for methods based on 3D models). We hope...
codebook, reconstruction, matching, recognition, retrieval, 3d, classification, feature, flickr, landmarkThe KU Leuven Facade dataset is used for architectural styles classification. M. Mathias, A. Martinovic, J. Weissenberg, S. Haegler, L. Van Gool: Auto...
image classification, urban, architecture, procedural reconstructionThe Webcam Interestingness dataset consists of 20 different webcam streams, with 159 images each. It is annotated with interestingness ground truth, acq...
video, interest, retrieval, classification, weather, ranking, webcamThe COIL-100 (Columbia University Image Library) consists of 100 objects. For formal documentation look at the corresponding compressed technical report...
image retrieval, image classificationThe Caltech Game Covers dataset consists of CD/DVD covers of video games. The set was downloaded from freecovers.net during the summer of 2008. The set ...
caltech, retrieval, game, cover, classification, hierarchy, taxonomyDaimler Multi-Cue, Occluded Pedestrian Classification Benchmark Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border a...
image classification, urban, pedestrian, object detectionThe FlickrLogos-32 dataset contains photos showing brand logos and is meant for the evaluation of multi-class logo recognition as well as logo retrieval...
classification brand boundingbox, retrieval, object recognition, machine learning, logo, detection, image, flickrThe Google Street View dataset contains 62,058 high quality Google Street View images. The images cover the downtown and neighboring areas of Pittsburgh...
pittsburgh, urban, manhattan, sphere, address, panorama, google, streetview, gps, retrieval, localizationWe introduce a labeled dataset of categorized images for evaluating sketch based image retrieval. Using Flickr, we downloaded about 3000 images for each...
saliency, internet, shape, sketch, visual, attention, group, retrieval, salient object detectionThe San Francisco Landmark Dataset for Mobile Landmark Recognition is a set of images and query images for localization. We present the San Francisco ...
urban, mobile, sanfrancisco, gps, retrieval, localization, landmark, city, calibrationThe Compact Descriptors for Visual Search Patches Dataset (CDVS) is a dataset comprised of pairwise image patches. MPEG is a standard titled Compact De...
descriptor, mpeg, patch, retrieval, matching, featureOur repetitive pattern dataset with 106 images of app. 30 buildings from Pankrac, Prague and Marseille appearing in more than one image, number of appea...
image retrieval, urban, symmetry, repetition, image classificationThe Caltech Buildings dataset consists of images taken for 50 buildings around the Caltech campus. Five different images were taken for each building fr...
building, caltech, urban, retrieval, taxonomy, hierarchyThe CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test ima...
object, color, patch, scene, tiny, image classificationThe multi-scale Weizmann horses (originally from Eran Borenstein, adapted by Jamie Shotton) consists of 656 images which is split into 50+50training, 50...
object segmentation, clutter, horse, object detection by shape, natureThe 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. ...
chair, object detection, building, object segmentation, pedestrian, object pose, animal, car, airplaneAn Annotated Dataset For Near-Duplicate Detection In Personal Photo Collections Managing photo collections involves a variety of image quality assessm...
copyright, duplicate, detection, groundtruth, retrievalThe CALTECH 101 dataset by Li Fei-Fei contains images for 101 categories with about 40 to 800 images per category. Most categories have about 50 images ...
object, natural-image, centered, scene, image classificationSheffield Building Image Dataset consists of over 3,000 low-resolution images of forty different buildings typically between 70 and 120 images per buil...
image retrieval, image classification, urban, sheffieldThe Tiny Images dataset consists of 79,302,017 images, each being a 32x32 color image. This data is stored in the form of large binary files which can b...
image retrieval, image classification, color, tiny