
### 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.
license:mit region:us
{"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}}
TAGS
#license-mit #region-us 


### 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.
### 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.
TAGS
#license-mit #region-us 
 ### 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.