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metadata
license: cc-by-4.0
dataset_info:
  features:
    - name: img_id
      dtype: string
    - name: turn_index
      dtype: int32
    - name: input_img
      dtype: image
    - name: instruction
      dtype: string
    - name: output_img
      dtype: image
  splits:
    - name: train
      num_bytes: 15474910323.726
      num_examples: 8807
    - name: dev
      num_bytes: 926910159
      num_examples: 528
  download_size: 16474461666
  dataset_size: 16401820482.726
task_categories:
  - text-to-image
language:
  - en
pretty_name: MagicBrush
size_categories:
  - 10K<n<100K

Dataset Card for Dataset Name

Dataset Summary

MagicBrush is the first large-scale, manually-annotated instruction-guided image editing dataset covering diverse scenarios single-turn, multi-turn, mask-provided, and mask-free editing. MagicBrush comprises 10K (source image, instruction, target image) triples, which is sufficient to train large-scale image editing models.

Please check our website to explore more visual results.

Dataset Structure

"img_id" (str): same from COCO id "turn_index" (int32): the edit turn in the image "input_img" (str): input image, could be the original real image (turn_index=1) and edited images from last tunr (turn_index >=2) "instruction" (str): edit instruction of how the input image should be changed. "output_img" (str): the edited image corresponding to the input image and instruction.

If you need auxiliary data, please use training set and dev set

Splits

train: 8,807 edit turns (4,512 edit sessions). val: 528 edit turns (266 edit sessions). test: (To prevent potential data leakage, please check our repo for information on obtaining the test set.)

Licensing Information

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

Citation Information

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