hukenovs/easyportrait

EasyPortrait - Face Parsing and Portrait Segmentation Dataset

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This is a large collection of 40,000 high-quality images of people, each with detailed annotations separating the person from the background and individual facial features. It's designed for anyone needing to train or evaluate image processing models that perform tasks like removing backgrounds from video calls, enhancing facial skin, or changing eye color. Graphic designers, video editors, and machine learning engineers can use this dataset to create more sophisticated image and video manipulation tools.

334 stars. No commits in the last 6 months.

Use this if you are developing or evaluating AI models that need to precisely isolate human figures from backgrounds or distinguish specific facial regions for photo and video editing applications.

Not ideal if you need a dataset for object detection, general image classification, or tasks unrelated to human portrait manipulation.

image-editing video-conferencing face-detection computer-vision-training visual-effects
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 14 / 25

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Stars

334

Forks

25

Language

Python

License

Last pushed

Sep 19, 2024

Commits (30d)

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