License Plate Detection Model Zoo

Documentation Models
1

Dataset

Dataset Name Training Images Validation Images Class Labels License
Open Images Dataset 5,367 724 0: Vehicle Registration Plate Annotations under CC BY 4.0, Images under CC BY 2.0

Model Zoo

DeGirum’s license plate detection model zoo features models trained with the Ultralytics repository.

Model Architecture Input Size Precision Runtime Device Type mAP 50-95 mAP 50 FPS
yolov5nu_relu6_lp 640x640 INT8 N2X ORCA1 0.5601 0.8472 116.9
yolov5nu_relu6_lp 640x640 INT8 TFLITE EDGETPU 0.5601 0.8484 –
yolov5nu_relu6_lp 640x640 INT8 OPENVINO CPU 0.5700 0.8472 –
yolov5nu_relu6_lp 640x640 FP32 OPENVINO CPU 0.5759 0.8499 –
yolov5nu_silu_lp 640x640 INT8 N2X ORCA1 0.5624 0.8579 –
yolov5nu_silu_lp 640x640 INT8 TFLITE EDGETPU 0.5647 0.8588 –
yolov5nu_silu_lp 640x640 INT8 OPENVINO CPU 0.5800 0.8622 –
yolov5nu_silu_lp 640x640 FP32 OPENVINO CPU 0.5852 0.8636 –
yolov8n_relu6_lp 640x640 INT8 N2X ORCA1 0.5491 0.8487 107.3
yolov8n_relu6_lp 640x640 INT8 TFLITE EDGETPU 0.5503 0.8519 –
yolov8n_relu6_lp 640x640 INT8 OPENVINO CPU 0.5717 0.8592 –
yolov8n_relu6_lp 640x640 FP32 OPENVINO CPU 0.5701 0.8594 –
yolov8n_silu_lp 640x640 INT8 N2X ORCA1 0.5400 0.8479 –
yolov8n_silu_lp 640x640 INT8 TFLITE EDGETPU 0.5395 0.8518 –
yolov8n_silu_lp 640x640 INT8 OPENVINO CPU 0.5684 0.8682 –
yolov8n_silu_lp 640x640 FP32 OPENVINO CPU 0.5756 0.8699 –
yolov5su_relu6_lp 640x640 INT8 N2X ORCA1 0.5485 0.8475 43.8
yolov5su_relu6_lp 640x640 INT8 TFLITE EDGETPU 0.5498 0.8495 –
yolov5su_relu6_lp 640x640 INT8 OPENVINO CPU 0.5777 0.8634 –
yolov5su_relu6_lp 640x640 FP32 OPENVINO CPU 0.5791 0.8640 –
yolov5su_silu_lp 640x640 INT8 N2X ORCA1 0.5592 0.8580 –
yolov5su_silu_lp 640x640 INT8 TFLITE EDGETPU 0.5589 0.8605 –
yolov5su_silu_lp 640x640 INT8 OPENVINO CPU 0.5800 0.8663 –
yolov5su_silu_lp 640x640 FP32 OPENVINO CPU 0.5862 0.8677 –
yolov8s_relu6_lp 640x640 INT8 N2X ORCA1 0.5601 0.8762 38.9
yolov8s_relu6_lp 640x640 INT8 TFLITE EDGETPU 0.5597 0.8767 –
yolov8s_relu6_lp 640x640 INT8 OPENVINO CPU 0.5709 0.8768 –
yolov8s_relu6_lp 640x640 FP32 OPENVINO CPU 0.5725 0.8757 –
yolov8s_silu_lp 640x640 INT8 N2X ORCA1 0.5644 0.8575 –
yolov8s_silu_lp 640x640 INT8 TFLITE EDGETPU 0.5677 0.8592 –
yolov8s_silu_lp 640x640 INT8 OPENVINO CPU 0.5815 0.8616 –
yolov8s_silu_lp 640x640 FP32 OPENVINO CPU 0.5841 0.8627 –