creative-graphic-design/ObjectRemovalAlpha

Dataset

Dataset Card for ObjectRemovalAlpha

1

6 commits

1 linked in READMEs

updated Jun 26, 2026

See the code

README

Dataset Card for ObjectRemovalAlpha

Dataset Description

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

SplitExamples
train20

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.

image-editing
image-inpainting
object-removal
text-to-image

Contributors

shunk031

6 commits

creative-graphic-design/ObjectRemovalAlpha

Dataset

Dataset Card for ObjectRemovalAlpha

1

6 commits

1 linked in READMEs

updated Jun 26, 2026

See the code

README

Dataset Card for ObjectRemovalAlpha

Dataset Description

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

SplitExamples
train20

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.

image-editing
image-inpainting
object-removal
text-to-image

Contributors

shunk031

6 commits