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, 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.

For more details, please refer to the link: https://www.nexdata.ai/datasets/llm/2039?source=Huggingface

Specifications

Data size

1.51 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 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

Image resolution

No less than 2K

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 95%; the edge error between the edited target and the original target should not exceed 5 pixels.

Full Dataset Access

The complete dataset is available upon request. Visit Nexdata to learn more and submit an access request.