SapiensID is an official repository for SapiensID: Foundation for Human Recognition CVPR 2025 (https://arxiv.org/pdf/2504.04708).
@inproceedings{kim2025sapiensid,
title={SapiensID: Foundation for Human Recognition},
author={Kim, Minchul and Ye, Dingqiang and Su, Yiyang and Liu, Feng and Liu, Xiaoming},
booktitle={CVPR},
year={2025}
}
There are two main components:
- SapiensID: modeling
- WebBody: dataset
The core modeling and evaluation framework that provides:
- Person re-identification models and pipelines
- Pretrained models included
- Comprehensive evaluation on multiple datasets including:
- PRCC
- WebBody
- Market-1501
- MSMT17
- LTCC
- CelebReID
- DeepChange
- CCDA
- CCVID
- (we provide code for creating validation sets for each dataset but do not distribute the datasets)
- Support for both single and multi-GPU evaluation
- Feature extraction and metric computation
- Model training and inference pipelines
Refer to tasks/sapiensID/README.md for more details.
A dataset creation and management tool that:
- Downloads and processes images from web sources
- Handles image resizing and quality control
- Manages data organization and storage
- Supports parallel processing for large-scale dataset creation
- Integrates with wandb for monitoring download progress
Refer to WebBody/README.md for more details.