56 datasets found

Market-Sketch-1K is a large-scale sketch re-identification dataset with characteristics of large-scale, multi-perspective, and multi-style. It features two aspects: 1)...

Person Re-Id benchmark datasets for evaluation of person re-identification methods

Person search unifies person detection and person re-identification (Re-ID) to locate query persons from the panoramic gallery images. One major challenge comes from the...

CUHK-SYSU is a large-scale dataset designed for person search, which contains 18,184 scene images captured from street nap and movie screenshot.

Person Re-Identification (ReID) aims to recognize a person-of-interest across different places and times. RF-ReID uses radio frequency (RF) signals for longterm person ReID.

Person Re-Identification (ReID) aims to recognize a person-of-interest across different places and times. RF-ReID uses radio frequency (RF) signals for longterm person ReID.

The CUHK03-np dataset comprises 14,097 photos of 1,467 individual identities.

The Market dataset has 1,501 identities captured by six cameras.

The dataset used for tracking multiple people across multiple cameras is a large-scale multi-camera tracking dataset, DukeMTMC.

A synthetic dataset for pedestrian tracking and Re-ID with highly accurate and rich labels of ids, 2D bounding box coordinates, and semantic attributes.

Recognizing person in UAV images faces two main challenges: significant size difference and uncertain rotation variations.

A large-scale, long-term, person re-ID dataset, called Celeb-reID, was built in 2019.

The Market-1501 dataset is a large benchmark for person re-identification. It contains 12,000 images with 1,500 images per person, annotated with bounding boxes and masks for...

Person re-identification by deep joint learning of multi-loss classification.

SpindleNet for learning person features of different body regions with additional human pose information.

Deepreid: Deep filter pairing neural network for person re-identification.

Person re-identification (reID) is an important task that requires to retrieve a person’s images from an image dataset, given one image of the person of interest. For learning...

The AVSS 2018 challenge II dataset is used for semantic person retrieval using soft biometrics. It contains two tasks: person re-identification and surveillance imagery search.

Person Re-Identification (ReID) systems pose a significant security risk from backdoor attacks, allowing adversaries to evade tracking or impersonate others.

Re-identification (Re-ID) problems aim to determine corresponding targets across multiple cameras or different locations in the same camera from the gallery set with a given probe.