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Check out the documentation for more information.

COCO Pose Weather Edits

This upload package describes the local outputs for COCO pose-oriented weather editing generated with ControlNet.

Local Source Data

  • COCO subset: /data2/baoming/coco2017/train1500_pose
  • Snow outputs: /data2/baoming/controlnet/generated_coco_train1500_snow
  • Rain outputs: /data2/baoming/controlnet/generated_coco_train1500_rain

Intended Hugging Face Layout

  • train1500_pose/
  • generated_coco_train1500_snow/
  • generated_coco_train1500_rain/
  • README.md

train1500_pose/ contains:

  • images/: the selected 1500-image subset
  • person_keypoints_train2017_1500.json: filtered pose annotations
  • train1500_attrs.json: image-level attribute mapping used to guide prompt construction

Each generated directory contains:

  • outputs/: edited images
  • controls/: ControlNet canny control maps
  • sample_1500_meta.json: per-image prompt and generation metadata
  • logs/run.jsonl: generation status log

Counts

  • train1500_pose/images: 1500 images
  • generated_coco_train1500_snow/outputs: 1500 images
  • generated_coco_train1500_rain/outputs: 1500 images

Notes

  • The subset is sampled from the first 20000 valid COCO train2017 person-keypoint images covered by the BLIP/Gemini attribute file.
  • Prompt construction preserves person count, placement, and body pose while editing weather conditions.
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