Dataset

ReText-Captions

Contains 346,250 image-path and caption pairs across 5 person ReID benchmarks for multimodal person matching and caption-augmented retrieval.

Hugging Face ↗Oct 28, 2026Paper ↗Code ↗

  • multimodal
  • person-reid
  • image-captioning
  • synthetic-captions
Detailed method pipeline showing encoders, losses, and reconstruction flow
Detailed method pipeline showing encoders, losses, and reconstruction flow

What it is

346,250 generated captions aligned to five person re-identification datasets, released as image-path and text pairs for text-augmented ReID research. 346,250 image-caption pairs across 5 multi-camera person ReID datasets. Each entry has an image_path and an auto-generated caption from LLaVA fine-tuned on UFine3C; images are not included.

Key results

  • 346,250 total image-caption entries
  • 5 configs: CUHK-SYSU, CUHK03, Market-1501, MSMT17, RandPerson
  • 2 string fields per entry: image_path and caption

Useful for training and evaluating text-augmented person re-identification on standard benchmarks.

One useful ML email a week.

Worth your time, not all of your time.

We track new ML work across papers, code, and data, then keep only the pieces worth a closer look. Selected, not collected.

Papers.Data.Code

The Weekly ML Signal

Selected, not collected.

One useful ML email a week: the papers, repos and datasets worth your attention.

Worth your time, not all of your time.