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ImgEdit
- huggingface.co
Updated Jun 1, 2025
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EmailClick to copy linkLink copiedCiteyeyang (2025). ImgEdit [Dataset]. https://huggingface.co/datasets/sysuyy/ImgEditDataset updatedJun 1, 2025AuthorsyeyangLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionImgEdit: A Unified Image Editing Dataset and Benchmark
🌍 IntroductionImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging multi-turn tasks. To ensure the data quality, we employ a multi-stage pipeline that integrates a cutting-edge vision-language model, a detection model, a segmentation model, alongside task-specific in-painting procedures… See the full description on the dataset page: https://huggingface.co/datasets/sysuyy/ImgEdit.
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ImgEdit Dataset
- paperswithcode.com
Updated May 27, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteYang Ye; Xianyi He; Zongjian Li; Bin Lin; Shenghai Yuan; Zhiyuan Yan; Bohan Hou; Li Yuan (2025). ImgEdit Dataset [Dataset]. https://paperswithcode.com/dataset/imgeditDataset updatedMay 27, 2025AuthorsYang Ye; Xianyi He; Zongjian Li; Bin Lin; Shenghai Yuan; Zhiyuan Yan; Bohan Hou; Li YuanDescriptionImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging multi-turn tasks.
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ImgEdit_recap_mask
- huggingface.co
Updated May 27, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteyeyang (2025). ImgEdit_recap_mask [Dataset]. https://huggingface.co/datasets/sysuyy/ImgEdit_recap_maskDataset updatedMay 27, 2025AuthorsyeyangLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionImgEdit: A Unified Image Editing Dataset and Benchmark
🌍 IntroductionImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging multi-turn tasks. To ensure the data quality, we employ a multi-stage pipeline that integrates a cutting-edge vision-language model, a detection model, a segmentation model, alongside task-specific in-painting procedures… See the full description on the dataset page: https://huggingface.co/datasets/sysuyy/ImgEdit_recap_mask.
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FacebookTwitterEmailApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
ImgEdit: A Unified Image Editing Dataset and Benchmark
🌍 Introduction
ImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging multi-turn tasks. To ensure the data quality, we employ a multi-stage pipeline that integrates a cutting-edge vision-language model, a detection model, a segmentation model, alongside task-specific in-painting procedures… See the full description on the dataset page: https://huggingface.co/datasets/sysuyy/ImgEdit.