Datasets:
| 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: 1702397648.04 | |
| num_examples: 15764 | |
| - name: test | |
| num_bytes: 144843377.92 | |
| num_examples: 1346 | |
| download_size: 1762938503 | |
| dataset_size: 1847241025.96 | |
| ### 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. |