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
• Resolution: 3x640x640
• Support Cooper version:
  • Cooper SDK: [2.5.2]
  • Cooper Foundry: [2.2]

Model	Device	Model Link
RetinaFace-Resnet50	N1-655	Model_Link
RetinaFace-Resnet50	CV72	Model_Link
RetinaFace-Resnet50	CV75	Model_Link