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SEED-Data-Edit-Part2-3
- huggingface.co
Updated Mar 12, 2025
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EmailClick to copy linkLink copiedCiteTencentAILab-CVC (2025). SEED-Data-Edit-Part2-3 [Dataset]. https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part2-3CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 12, 2025Dataset authored and provided byTencentAILab-CVCLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionSEED-Data-Edit
SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). Part-2: Real-world scenario data collected from the internet (52K editing pairs). Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum of 5… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part2-3.
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SEED-Data-Edit-Part1-Unsplash
- huggingface.co
Updated May 2, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTencentAILab-CVC (2024). SEED-Data-Edit-Part1-Unsplash [Dataset]. https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part1-UnsplashCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMay 2, 2024Dataset authored and provided byTencentAILab-CVCLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionSEED-Data-Edit
SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). Part-2: Real-world scenario data collected from the internet (52K editing pairs). Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum of 5… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part1-Unsplash.
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SEED-Data-Edit-Part1-Openimages
- huggingface.co
Updated May 2, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTencentAILab-CVC (2024). SEED-Data-Edit-Part1-Openimages [Dataset]. https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part1-OpenimagesCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMay 2, 2024Dataset authored and provided byTencentAILab-CVCLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionSEED-Data-Edit
SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). Part-2: Real-world scenario data collected from the internet (52K editing pairs). Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum of 5… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part1-Openimages.
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SEED-Data-Edit
- huggingface.co
Updated May 1, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTencentAILab-CVC (2024). SEED-Data-Edit [Dataset]. https://huggingface.co/datasets/AILab-CVC/SEED-Data-EditDataset updatedMay 1, 2024Dataset authored and provided byTencentAILab-CVCLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionSEED-Data-Edit
SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). Part-2: Real-world scenario data collected from the internet (52K editing pairs). Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit.
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FacebookTwitterEmailAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
SEED-Data-Edit
SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). Part-2: Real-world scenario data collected from the internet (52K editing pairs). Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum of 5… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part2-3.