Face Detection Model Zoo

Documentation Models
1

Dataset

Dataset Name Training Images Validation Images Class Labels License
Open Images Dataset 20,000 [1] 1,975 0: Human Face Annotations under CC BY 4.0, Images under CC BY 2.0

Model Zoo

DeGirum’s face detection model zoo offers models trained with the Ultralytics repository.

Model Architecture Input Size Precision Runtime Device Type mAP 50-95 mAP 50 FPS
yolov5nu_relu6_face 640x640 INT8 N2X ORCA1 0.5677 0.7874 117.6
yolov5nu_relu6_face 640x640 INT8 TFLITE EDGETPU 0.5683 0.7882 –
yolov5nu_relu6_face 640x640 INT8 OPENVINO CPU 0.5570 0.7764 –
yolov5nu_relu6_face 640x640 FP32 OPENVINO CPU 0.5695 0.7898 –
yolov5nu_silu_face 640x640 INT8 N2X ORCA1 0.5591 0.7784 –
yolov5nu_silu_face 640x640 INT8 TFLITE EDGETPU 0.5590 0.7774 –
yolov5nu_silu_face 640x640 INT8 OPENVINO CPU 0.5613 0.7802 –
yolov5nu_silu_face 640x640 FP32 OPENVINO CPU 0.5677 0.7839 –
yolov8n_relu6_face 640x640 INT8 N2X ORCA1 0.5679 0.7869 106.8
yolov8n_relu6_face 640x640 INT8 TFLITE EDGETPU 0.5686 0.7876 –
yolov8n_relu6_face 640x640 INT8 OPENVINO CPU 0.5409 0.7586 –
yolov8n_relu6_face 640x640 FP32 OPENVINO CPU 0.5694 0.7871 –
yolov8n_silu_face 640x640 INT8 N2X ORCA1 0.5514 0.7647 –
yolov8n_silu_face 640x640 INT8 TFLITE EDGETPU 0.5493 0.7642 –
yolov8n_silu_face 640x640 INT8 OPENVINO CPU 0.5594 0.7754 –
yolov8n_silu_face 640x640 FP32 OPENVINO CPU 0.5692 0.7799 –
yolov5su_relu6_face 640x640 INT8 N2X ORCA1 0.5797 0.7967 43.9
yolov5su_relu6_face 640x640 INT8 TFLITE EDGETPU 0.5797 0.7974 –
yolov5su_relu6_face 640x640 INT8 OPENVINO CPU 0.5483 0.7653 –
yolov5su_relu6_face 640x640 FP32 OPENVINO CPU 0.5821 0.7972 –
yolov5su_silu_face 640x640 INT8 N2X ORCA1 0.5766 0.7951 –
yolov5su_silu_face 640x640 INT8 TFLITE EDGETPU 0.5751 0.7955 –
yolov5su_silu_face 640x640 INT8 OPENVINO CPU 0.5691 0.7887 –
yolov5su_silu_face 640x640 FP32 OPENVINO CPU 0.5784 0.7923 –
yolov8s_relu6_face 640x640 INT8 N2X ORCA1 0.5803 0.7971 39.0
yolov8s_relu6_face 640x640 INT8 TFLITE EDGETPU 0.5806 0.7973 –
yolov8s_relu6_face 640x640 INT8 OPENVINO CPU 0.5465 0.7617 –
yolov8s_relu6_face 640x640 FP32 OPENVINO CPU 0.5817 0.7959 –
yolov8s_silu_face 640x640 INT8 N2X ORCA1 0.5789 0.7958 –
yolov8s_silu_face 640x640 INT8 TFLITE EDGETPU 0.5784 0.7968 –
yolov8s_silu_face 640x640 INT8 OPENVINO CPU 0.5711 0.7836 –
yolov8s_silu_face 640x640 FP32 OPENVINO CPU 0.5853 0.8009 –

  1. A subset of face training images are used for training. ↩︎