ZhaoJ9014/face.evoLVe

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3589 stars · 760 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A high-performance face recognition library built on PaddlePaddle and PyTorch, providing comprehensive tools for face-related analytics and applications. It offers training code, model architectures, and datasets for tasks like face detection, alignment, landmark detection, and verification.

Use cases

• recognize faces in images
• detect and align faces
• extract facial landmarks
• train a face recognition model
• fine-tune a pretrained face model
• perform face anti-spoofing / liveness detection
• build a face verification system
• run large-scale face recognition with millions of identities

When to choose

• You need a comprehensive, high-performance face recognition library with training and inference capabilities
• You want to leverage PyTorch or PaddlePaddle for face-related analytics
• You require distributed multi-GPU training for large-scale face recognition
• You need access to curated face datasets and model architectures like IR-152

When to avoid

• You need general-purpose object detection or image classification beyond faces
• You require a lightweight, production-ready face recognition API without training needs
• You are working with non-face biometric recognition (e.g., fingerprints, irises)
• You need real-time face recognition on edge devices with limited compute

Facets

library · maturity active

machine-learning deep-learning computer-vision image-processing llm-training computer-vision deep-learning artificial-intelligence machine-learning python cross-platform face-recognition face-detection face-alignment face-landmark-detection feature-extraction fine-tuning transfer-learning data-augmentation imbalanced-learning hard-negative-mining model-training pytorch paddlepaddle computer-vision deep-learning face-analytics face-verification face-identification face-anti-spoofing liveness-detection distributed-training multi-gpu ms-celeb-1m ir-152 nus tencent mit-license gpu

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markdown · JSON · MCP: product_card(name="ZhaoJ9014/face.evoLVe")