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AI Photo-Video Editing Dataset Collection
June 21, 2024Updated 11:57 am

AI photo-video editing apps are becoming the hot Apps which can help you create, edit, and enhance photos/videos with ease. High quality fine-segmented datasets are the key for such advanced Apps, enabling variable functions like matting, background virtualization, inpainting and so on.

 

 

 

1. Specific Fine-Segmentation Datasets for Precise Object Detection and Editing

 

Human-Body Segmentation datasets in this collection cater to the need for an intricate understanding of human body shapes and postures, vital in advanced photo or video editing. By accurately identifying different body parts, these datasets enable sophisticated body-related edits such as reshaping, posture adjustments, or adding effects specific to body parts, thereby enriching the capabilities of photo and video editing apps.

 

2. Human-Body Segmentation for Advanced Body-related Editing

 

Human-Body Segmentation datasets in this collection cater to the need for intricate understanding of human body shapes and postures, vital in advanced photo or video editing. By accurately identifying different body parts, these datasets enable sophisticated body-related edits such as reshaping, posture adjustments, or adding effects specific to body parts, thereby enriching the capabilities of photo and video editing apps.

 

3.Facial Segmentation for Realistic and Personalized Facial Editing

 

Facial Segmentation datasets are paramount in providing a detailed understanding of human facial features, thus enabling realistic and personalized facial edits in photo and video editing applications. The datasets, comprising images that clearly delineate different facial features, aid algorithms in identifying, understanding, and manipulating these features with high precision. This contributes to a multitude of advanced editing features like facial reshaping, bauty filters, and realistic facial animations.

 
 
Copyright Statement:

This dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. You are free to:

· Share — copy and redistribute the material in any medium or format.

· Adapt — remix, transform, and build upon the material.

Under the following terms:

· Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

· NonCommercial — You may not use the material for commercial purposes.

· ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

For more details, please visit Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

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