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Nexdata-AI/1.51-Million-Single-Image-Editing-Sample-Data

1.51-Million-Sets-of-Single-image-and-Multi-image-Fusion-Image-Editing-Data Description 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… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/1.51-Million-Single-Image-Editing-Sample-Data.

sourceHugging Facecc-by-nc-sa-4.0updated 5mo agoView on Hugging Face
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1---2license: cc-by-nc-sa-4.03task_categories:4- text-to-image5- image-text-to-video6---7# 1.51-Million-Sets-of-Single-image-and-Multi-image-Fusion-Image-Editing-Data8 9## Description10This 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.11 12For more details, please refer to the link: https://www.nexdata.ai/datasets/llm/2039?source=Huggingface13 14## Specifications15### Data size16 171.51 million sets18 19### Target types20 21People (close-up, half-body, full-body portraits), animals, commodities, plants, buildings, landscapes (urban, rural, natural scenery), travel photos, photo albums, home scenes, etc.22 23### Editing types24 25500,000 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 editing26 27### Image resolution28 29No less than 2K30 31### Data parameters32 33Image formats are common formats such as .jpg, .jpeg, .png, and editing text formats are .txt34 35### Annotation content36 37According to the editing instructions, perform pixel-level editing on the targets that need to be edited in the image38 39### Accuracy rate40 41The edited data meets the requirements of the data scene, with no obvious mismatched targets, and the accuracy rate is no less than 95%; the edge error between the edited target and the original target should not exceed 5 pixels.42 43## Full Dataset Access44The complete dataset is available upon request. Visit [Nexdata](https://www.nexdata.ai/datasets/llm/2039?source=Huggingface) to learn more and submit an access request.