The multi-scale Weizmann horses (originally from Eran Borenstein, adapted by Jamie Shotton) consists of 656 images which is split into 50+50training, 50+50 validation and 228+228 testing images. It contains side views of horses with a large variation in pose and contains segmentation masks for the horses. The single-scale Weizmann horses contains 328 horse and 900 background images resized to have the horses at single scale. It also contains segmentation masks for the horses. The protocol for detection entails training on the first 100 images (see readme) and evaluating the Shotton criterion. The bounding box is not relevant and is not evaluated. Segmentation is also evaluated on this dataset... using (fixme?) http://jamie.shotton.org/work/data/WeizmannSingleScale.zip http://jamie.shotton.org/work/data/WeizmannMultiScale.zip http://jamie.shotton.org/work/data.html
The INRIA Horses dataset from Frederic Jurie and Vittorio Ferrari consists of 170 images with one or more horses in side-view at several scales and clut...
segmentation, clutter, horse, object detection by shape, natureThe ETHZ Shape classes dataset from Vittorio Ferrari [?] consists of five object classes and a total of 255 images. All classes contain significant intr...
clutter, swan, bottle, matching, nature, object detection by shape, mug, giraffe, segmentation, applelogoThe ETHZ Extended Shape classes dataset from Konrad Schindler is larger dataset of shape categories, created by merging ETHZ shape classes with Konrad S...
segmentation, clutter, object detection by shapeThe Fish4Knowledge project (groups.inf.ed.ac.uk/f4k/) is pleased to announce the availability of 2 subsets of our tropical coral reef fish video and e...
motion, nature, recognition, fish, video, water, classification, animal, cameraThe Stanford Background Dataset is a new dataset introduced in Gould et al. (ICCV 2009) for evaluating methods for geometric and semantic scene understa...
segmentation, urban, geometry, semantic, classification, natureThe ImageNET dataset is the latest dataset by Li Fei-Fei containing various dataset ranging from 1000 to 10000 categories.
image classification, object segmentation, retrievalThe GaTech VideoContext dataset consists of over 100 groundtruth annotated outdoor videos with over 20000 frames for the task of geometric context eval...
urban, nature, outdoor, video, segmentation, supervised, classification, context, unsupervised, geometry, semanticThe Graz01 dataset by Andreas Opelt and Axel Pinz contains four types of images: bikes, people, background with no bikes, background with no people.
pedestrian, clutter, occlusion, object detection, graz, background, bikeThe Graz02 dataset by Andreas Opelt and Axel Pinz contains four categories of images: bikes, people, cars and a single background class. The annotation ...
pedestrian, clutter, object detection, graz, background, car, bikeThe Multi-illuminant Image Sequences dataset contains 16 video sequences (13 with single light source and 3 with two global light sources), recorded wi...
constancy, color, white, chromaticity, physics, nature, dichromatic, illumination, object, balance, lightThis is a subset of the dataset introduced in the SIGGRAPH Asia 2009 paper, Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequence...
urban, nature, time, webcam, video, illumination, change, static, camera, lightThis site is dedicated to provide datasets for the Robotics community with the aim to facilitate result evaluations and comparisons. The datasets presen...
urban, laser, 3d, city, 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, airplane