---
license: mit
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': gt
          '1': pose
          '2': st
  - name: caption
    dtype: string
  - name: gtimage
    dtype: image
  - name: stimage
    dtype: image
  splits:
  - name: train
    num_bytes: 1702123872.04
    num_examples: 15764
  - name: test
    num_bytes: 144819992.92
    num_examples: 1346
  download_size: 1762884199
  dataset_size: 1846943864.96
task_categories:
- image-to-text
- image-captioning
- keypoint-estimation
---

### Dataset Summary

The data is based on DeepFashion; turned into image pairs of the same person in same garment with different poses.

This won't preserve the person/garment at all but just want to process the data first and see what kind of controlnet it can train as an exercise for training a controlnet.

The controlnet_aux's openpose detector sometimes return black images for occluded human images so there won't be a lot of valid image pairs.