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# 1.51-Million-Sets-of-Single-image-and-Multi-image-Fusion-Image-Editing-Data
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## Description
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1.51 Million Sets of Single-image and Multi-image Fusion Image Editing Data. Editing types include 500,000 sets of portrait/object consistency editing, 300,000 sets of structural edits, 210,000 sets of mixed editing, and 450,000 sets of spatial editing, and 50,000 sets of style transfer editing. The editing targets cover scenes such as people, animals, goods, plants, and landscapes. In terms of annotation, the targets that need to be edited in the image are edited according to the editing instructions. The data can be used for tasks such as image synthesis, data augmentation, and virtual scene generation.
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For more details, please refer to the link: https://www.nexdata.ai/datasets/llm/2039?source=Huggingface
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# 1.51-Million-Sets-of-Single-image-and-Multi-image-Fusion-Image-Editing-Data
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## Description
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This dataset is just a sample of 1.51 Million Sets of Single-image and Multi-image Fusion Image Editing Data. Editing types include 500,000 sets of portrait/object consistency editing, 300,000 sets of structural edits, 210,000 sets of mixed editing, and 450,000 sets of spatial editing, and 50,000 sets of style transfer editing. The editing targets cover scenes such as people, animals, goods, plants, and landscapes. In terms of annotation, the targets that need to be edited in the image are edited according to the editing instructions. The data can be used for tasks such as image synthesis, data augmentation, and virtual scene generation.
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For more details, please refer to the link: https://www.nexdata.ai/datasets/llm/2039?source=Huggingface
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