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| library_name: pytorch | |
|  | |
| 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](https://arxiv.org/abs/1905.00641) | |
| # 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](https://github.com/biubug6/Pytorch_Retinaface) | |
| - Original Weight: [RetinaFace weight](https://drive.google.com/file/d/14KX6VqF69MdSPk3Tr9PlDYbq7ArpdNUW/view?usp=drive_link) | |
| - Resolution: 3x640x640 | |
| - Support Cooper version: | |
| - Cooper SDK: [2.5.2] | |
| - Cooper Foundry: [2.2] | |
| | Model | Device | Model Link | | |
| | :-----: | :-----: | :-----: | | |
| | RetinaFace-Resnet50 | N1-655 | [Model_Link](https://huggingface.co/Ambarella/RetinaFace/blob/main/n1-655_retinaface_resnet50.bin) | | |
| | RetinaFace-Resnet50 | CV72 | [Model_Link](https://huggingface.co/Ambarella/RetinaFace/blob/main/cv72_retinaface_resnet50.bin) | | |
| | RetinaFace-Resnet50 | CV75 | [Model_Link](https://huggingface.co/Ambarella/RetinaFace/blob/main/cv75_retinaface_resnet50.bin) | |