# damo-cv/TransReID

[ICCV-2021] TransReID: Transformer-based Object Re-Identification

Repository: https://github.com/damo-cv/TransReID
Canonical: https://ross.abutalabs.com/products/transreid
Language: Python
License: MIT
License Family: permissive
Last push: 2024-06-12T05:28:31+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1986, "days_push": 812, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1048, forks 205 (observed 2026-08-28T04:03:22.436491+00:00)

## What it is
Official PyTorch implementation of TransReID, an ICCV 2021 paper applying vision transformers to object re-identification. It provides training and evaluation code achieving state-of-the-art results on person re-ID (Market-1501, MSMT17, DukeMTMC) and vehicle re-ID (VehicleID, VeRi-776) benchmarks.

## Use cases
- train a transformer model for person re-identification
- implement vehicle re-identification on VeRi-776 or VehicleID
- reproduce ICCV 2021 TransReID paper results
- fine-tune a ViT/DeiT backbone for re-ID tasks
- compare re-ID baselines on Market-1501 and MSMT17
- build a person search or surveillance matching system

## When to choose
- you need state-of-the-art transformer-based person or vehicle re-ID models
- you want a research reference implementation with pretrained ViT/DeiT backbones
- you have GPU resources and standard re-ID datasets available

## When to avoid
- you need a production-ready re-ID service with an API out of the box
- you lack a CUDA GPU, since training requires 16-32GB VRAM
- you need lightweight real-time inference on edge devices

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, image-processing
- platform: python
- tags: re-identification, person-reid, vehicle-reid, vision-transformer, pytorch, iccv-2021, research-code, gpu, linux

## Member repositories
- damo-cv/TransReID (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.436491+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 2026-08-30T07:00:42.437039+00:00, confidence not recorded.
  - readme: https://github.com/damo-cv/TransReID (fetched 2026-08-28T04:03:22.436491+00:00, sha d7cd58180f03)
- Data as of 2026-08-30T08:39:29.467469+00:00.