Robin-WZQ/AGFD-20K
A Generated Face Dataset: AGFD-20K. A Realistic, High-resolution, Vary & Balanced face dataset, generated by stable diffusion.
This project provides a large dataset of 20,000 high-resolution, realistic, and diverse generated human faces. It helps researchers and developers who need to train or test AI models with a consistent and high-quality source of facial images. You get a collection of image files categorized by age, emotion, occlusion, illumination, pose, and hair, ready for use in your projects.
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Use this if you need a varied and balanced dataset of synthetic human faces for developing or evaluating AI models, especially for tasks like facial recognition, emotion detection, or deepfake detection.
Not ideal if you require a dataset of real human faces or if your project demands specific demographic groups not covered by the existing attributes.
Stars
11
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2
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License
MIT
Category
Last pushed
Nov 05, 2023
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Robin-WZQ/AGFD-20K"
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