README.md

metadata

annotations_creators:
  - found
language:
  - en
language_creators:
  - found
license: apache-2.0
pretty_name: ObjectRemovalAlpha
size_categories:
  - n<1K
source_datasets:
  - lrzjason/ObjectRemovalAlpha
tags:
  - object-removal
  - image-inpainting
  - image-editing
  - text-to-image
task_categories:
  - image-to-image
task_ids: []
dataset_info:
  features:
    - name: text
      dtype: string
    - name: ground_truth_image
      dtype: image
    - name: factual_image
      dtype: image
    - name: mask_image
      dtype: image
  splits:
    - name: train
      num_bytes: 57432291
      num_examples: 20
  download_size: 56530697
  dataset_size: 57432291
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for ObjectRemovalAlpha

Dataset Description

• Homepage: https://huggingface.co/datasets/lrzjason/ObjectRemovalAlpha
• Repository: https://github.com/creative-graphic-design/huggingface-datasets/tree/main/datasets/ObjectRemovalAlpha
• Original Dataset: https://huggingface.co/datasets/lrzjason/ObjectRemovalAlpha
• Hugging Face Dataset: https://huggingface.co/datasets/creative-graphic-design/ObjectRemovalAlpha
• Paper: Not available in the original dataset release.

Dataset Summary

ObjectRemovalAlpha is a small object-removal training dataset reformatted from lrzjason/ObjectRemovalAlpha. Each example contains a shared text prompt, a ground-truth image, a factual/source image, and a mask image.

The loader groups the original _G, _F, and _M files by numeric ID and exposes them as one row per object-removal example.

Supported Tasks and Leaderboards

This dataset can be used for image editing, object removal, image inpainting, and mask-conditioned image generation experiments. No public leaderboard is bundled with the source dataset.

Languages

The text prompts are in English.

Dataset Structure

Data Instances

{
  "text": "object-removal prompt",
  "ground_truth_image": "<image>",
  "factual_image": "<image>",
  "mask_image": "<image>"
}

Data Fields

• text: Prompt text shared by the original _G, _F, and _M files.
• ground_truth_image: Target image after removal.
• factual_image: Source image before removal.
• mask_image: Mask image indicating the removal region.

Data Splits

Split	Examples
train	20

Dataset Creation

Source Data

The data is loaded from the upstream Hugging Face dataset lrzjason/ObjectRemovalAlpha using snapshot_download.

Licensing Information

The upstream dataset is marked Apache-2.0 on Hugging Face Hub.

Citation Information

No dataset-specific paper or BibTeX citation was found in the upstream dataset release.

Contributions

This Hugging Face dataset implementation was created by the creative-graphic-design organization to expose lrzjason/ObjectRemovalAlpha through a typed dataset loader.