56 datasets found

The SYSU-30k dataset is a large-scale weakly supervised person ReID dataset with over 29 million images gathered from TV program videos. The videos are randomly broken into...

The MUDD dataset was curated from PerformancePhoto.co and manually labeled in the traditional, fully supervised, ReID setting. We adapt the MUDD dataset to the weakly supervised...

The acquisition of large-scale, precisely labeled datasets for person re-identification (ReID) poses a significant challenge. Weakly supervised ReID has begun to address this...

MARS is an extension of the Market-1501 dataset [51]. It has been collected from six near-synchronized cameras. It consists of 1,261 different pedestrians, who are captured by...

Person re-identification (re-id) is the problem of matching people across non-overlapping camera views distributed in open spaces at different locations, typically achieved by...

The PRID2011 dataset extracts images from video recorded by static surveillance cameras with two camera views.

PETA dataset is a large-scale person re-identification dataset that contains binary and multi-class attribute annotations.

The SYSU-MM01 dataset is a popular dataset for visible-infrared person re-identification. It contains 491 identities with 4 VIS images and 2 IR images captured by 4 cameras.

The RegDB dataset is a popular dataset for visible-infrared person re-identification. It contains 412 identities with 10 VIS images and 10 IR images captured by a pair of...

The LLCM dataset is a challenging low-light cross-modality dataset for visible-infrared person re-identification. It contains 46,767 bounding boxes of 1,064 identities captured...

Person Re-ID has two key steps: obtaining a feature embedding and performing matching under some distance metric.

A runner re-identification system for a single-view video in the open-world setting.

Person re-identification has become a very popular research topic in the computer vision community owing to its numerous applications and growing importance in visual...

The Duke dataset is a large-scale person re-identification dataset, containing 702 identities with 16522 images.

Person re-identification (re-ID) is a fundamental task in distributed multi-camera surveillance, aiming to match people appearing in different non-overlapping camera views.

The dataset contains 171,352 images of 1,082 pedestrian identities.

The dataset contains 19,060 images of 512 identities captured from 4 cameras.

Cloth-changing Person Re-Identification (CC-ReID) is a challenging task that aims to retrieve the target person across multiple surveillance cameras when clothing changes might...

Person re-identification (re-ID) under various occlusions has been a long-standing challenge as person images with different types of occlusions often suffer from misalign-ment...

PKU-Sketch is a sketch re-identification dataset that focuses on eliminating the domain gap. It contains 200 sketches and 287,628 photos, and is used to study the impact of...