Car dataset taken by Markus Weber, Caltech PhD student under Pietro Perona. 126 images of cars from the rear. Approximate scale normalisation. JPEG format. Taken in the Caltech parking lots. 896 x 592 pixels.

The iNaturalist Localization 500 (iNatLoc500) dataset. See the GitHub page (https://github.com/visipedia/inat_loc) for details.

450 face images. 896 x 592 pixels. JPEG format. 27 or so unique people with different lighting/expressions/backgrounds.

Segmentation masks for the CUB-200-2011 dataset.

The dataset contains images of people collected from the web by typing common given names into Google Image Search. The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. This information can be used to align and crop the human faces or as a ground truth for a face detection a...

A dataset of frontal portraits of 53 individuals spanning a number of attributes (sex, age, race, hair), each photographed from seven distances.

A large and well annotated dataset of actions on the current best image dataset for visual recognition, with rich annotations including all the actions performed by each person in the dataset, and the people and objects that are involved in each action, subject's posture and emotion, and high level visual cues such as mutual position and distance.

Motorbikes (Side) dataset. Collected by undergrads at Caltech (Feb '01) from the web. 826 images of motorbikes from the side. JPEG format. ImageData.mat is a MATLAB file containing the variable SubDir_Data which is an 8 x 826 matrix. Each column of this matrix hold the coordinates of the bike within the image, in the form: [x_bot_left y_bot_left...

CUB-200-2011 is an extended version of CUB-200, a challenging dataset of 200 bird species. The extended version roughly doubles the number of images per category and adds new part localization annotations. All images are annotated with bounding boxes, part locations, and attribute labels. Images and annotations were filtered by multiple users of...

Data for "It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data" (BMVC 2018).