Ambarella/RetinaFace

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RetinaFace is a state-of-the-art single-stage face detector that combines a robust backbone with multi-task learning to predict face locations, landmarks, and context-aware features simultaneously.

Original paper: RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

RetinaFace-Resnet50

This model uses RetinaFace with a ResNet-50 backbone, providing a strong trade-off between detection accuracy and computational efficiency. It is well suited for face detection and landmark localization in applications such as authentication, video surveillance, and human–computer interaction.

Model Configuration:

• —Reference implementation: Official RetinaFace source code
• —Original Weight: RetinaFace weight
• —Dataset: WIDER FACE
• —Resolution: 3x640x640
• —Support Cooper version:
• —Cooper SDK: [2.5.4]
• —Cooper Foundry: [2.3]