56 datasets found

Groups: Person Re-Identification Organizations: No Organization

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  • Market-Sketch-1K

    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)...

  • 3DPES, CUHK01, CUHK03, Market-1501

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

  • PRW

    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

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

  • RRD-Home

    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.

  • RRD-Campus

    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.

  • CUHK03-np

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

  • Market

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

  • DukeMTMC

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

  • AttMOT

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

  • PRAI-1581

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

  • Celeb-reID

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

  • Market-1501 Dataset

    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...

  • JLML

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

  • SpindleNet

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

  • Deepreid

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

  • FD-GAN: Pose-guided Feature Distilling GAN for Robust 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...

  • AVSS 2018 challenge II

    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.

  • DiffPhysBA: Diffusion-based Physical Backdoor Attack

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

  • Market1501

    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.