YoloV5-Face
Real‑time face detection with 5‑point facial landmark estimation on mobile and edge devices.
YoloV5‑Face‑Nano is a lightweight single‑class face detector based on the YoloV5 backbone (StemBlock + ShuffleV2Block). Each detected face is accompanied by 5 facial landmark predictions (left eye, right eye, nose, left mouth corner, right mouth corner). Trained on the WiderFace dataset.
Note: YoloV5-Face cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.
Not supported
This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Input resolution:640x640
Model checkpoint:yolov5n-face.pt
Model size (float):7.21 MB
Model size (w8a16):3.68 MB
Number of parameters:1.87M
Applicable Scenarios
- Camera
- Face Authentication
- Augmented Reality
License
Model:GPL-3.0
Tags
- real-time
Supported IoT Devices
- Arduino VENTUNO Q
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ Q-6690
- Qualcomm® QCS5121
- Qualcomm® Dragonwing™ QCS6490
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ Q-7790
- Qualcomm® Dragonwing™ IQ-8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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