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1.5 Million Sets of Single-image and Multi-image Fusion Image Editing Data
Image Editing
Multi-image Fusion
1.5 Million Sets of Single-image and Multi-image Fusion Image Editing Data. Editing types include 500,000 sets of portrait/object consistency edits, 300,000 sets of structural edits, 210,000 sets of mixed edits, and 450,000 sets of spatial edits. 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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
1.5 million sets
Target types
People (close-up, half-body, full-body portraits), animals, commodities, plants, buildings, landscapes (urban, rural, natural scenery), travel photos, photo albums, home scenes, etc.
Editing types
500,000 groups of portrait/object consistency editing, 300,000 groups of structural editing, 210,000 groups of mixed editing, 450,000 groups of spatial editing
Image resolution
No less than 2K, with 4K resolution accounting for more than 70%
Data parameters
Image formats are common formats such as .jpg, .jpeg, .png, and editing text formats are .txt
Annotation content
According to the editing instructions, perform pixel-level editing on the targets that need to be edited in the image
Accuracy rate
The edited data meets the requirements of the data scene, with no obvious mismatched targets, and the accuracy rate is no less than 97%; the edge error between the edited target and the original target should not exceed 5 pixels.
Specifications
Sample
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