license:openrail size_categories:1K<n<10K format:imagefolder modality:image library:datasets library:mlcroissant region:us
---
license: openrail
---

# Hands 2.7K

Approximately 2700 high quality, high resolution photos of human hands.

Captioned using CogVLM configured to return a maximum of 77 new tokens with the prompt:

```
Describe the image accurately and concisely, with few fill words.
```

Used a single A100-80G (37G VRAM consumed) at a batch size of 1 as CogVLM does not currently support batched inputs.

Used 3 seconds per image, 500 images every 25 minutes.

A small subset of a dataset of 18k images, this seemed to be enough to prove the concept while finishing in a reasonable period of time.

## Usage

The captions are filenames. Use a simple python script to convert them into .txt files if needed - strip the underscores, replacing them with spaces.