# NEU-Gou/awesome-reid-dataset

Collection of public available person re-identification datasets

Repository: https://github.com/NEU-Gou/awesome-reid-dataset
Canonical: https://ross.abutalabs.com/products/awesome-reid-dataset
License Family: other
Last push: 2025-10-23T07:24:42+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 48, release rhythm 35, longevity 100
- inputs: {"age_days": 2888, "days_push": 314, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1105, forks 172 (observed 2026-08-28T04:03:36.339882+00:00)

## What it is
A curated awesome-list cataloging publicly available person re-identification (ReID) datasets, with metadata such as identity counts, camera counts, image counts, and labeling methods. It serves as a reference index linking to datasets used for benchmarking person re-identification algorithms.

## Use cases
- find person re-identification datasets for training
- compare reid benchmark datasets by size and cameras
- download public datasets for pedestrian matching research
- survey available reid datasets for a paper
- find occluded or thermal person reid datasets

## When to choose
- you need an overview of available person reid datasets with metadata
- you are selecting benchmark datasets for re-identification research

## When to avoid
- you need actual image data or training code - this is only a link collection
- you need general object detection or image classification datasets

## Facets
- artifact type: dataset
- maturity: active
- function: computer-vision, image-processing
- domain: computer-vision, machine-learning, awesome-lists
- platform: cross-platform
- tags: person-re-identification, reid, dataset-catalog, benchmark, surveillance

## Member repositories
- NEU-Gou/awesome-reid-dataset (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.339882+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:44:20.790678+00:00, confidence not recorded.
  - readme: https://github.com/NEU-Gou/awesome-reid-dataset (fetched 2026-08-28T04:03:36.339882+00:00, sha b19de6291425)
- Data as of 2026-08-30T08:39:29.467469+00:00.