Car Detection
Dataset
| Dataset Name | Training Images | Validation Images | Class Labels | License |
|---|---|---|---|---|
| Open Images Dataset | 20,000 1 | 5,095 | 0: Car | Annotations under CC BY 4.0 Images under CC BY 2.0 |
1: A subset of car training images are used for training.
Model Zoo
DeGirum's car detection model zoo consists of a variety of models gathered and trained using ultralytics repository.
Here is the link to DeGirum's car detection zoo.
| Model Architecture | Input Size | Precision | Runtime | Device Type | mAP 50-95 | mAP 50 | FPS |
|---|---|---|---|---|---|---|---|
| yolov5nu_relu6_car | 640x640 | INT8 | N2X | ORCA1 | 0.6637 | 0.8458 | 116.5 |
| yolov5nu_relu6_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6640 | 0.8455 | -- |
| yolov5nu_relu6_car | 640x640 | INT8 | OPENVINO | CPU | 0.6686 | 0.8476 | -- |
| yolov5nu_relu6_car | 640x640 | FP32 | OPENVINO | CPU | 0.6721 | 0.8505 | -- |
| yolov5nu_silu_car | 640x640 | INT8 | N2X | ORCA1 | 0.6590 | 0.8394 | -- |
| yolov5nu_silu_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6584 | 0.8393 | -- |
| yolov5nu_silu_car | 640x640 | INT8 | OPENVINO | CPU | 0.6695 | 0.8452 | -- |
| yolov5nu_silu_car | 640x640 | FP32 | OPENVINO | CPU | 0.6745 | 0.8486 | -- |
| yolov8n_relu6_car | 640x640 | INT8 | N2X | ORCA1 | 0.6784 | 0.8513 | 107.7 |
| yolov8n_relu6_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6789 | 0.8517 | -- |
| yolov8n_relu6_car | 640x640 | INT8 | OPENVINO | CPU | 0.6833 | 0.8551 | -- |
| yolov8n_relu6_car | 640x640 | FP32 | OPENVINO | CPU | 0.6853 | 0.8562 | -- |
| yolov8n_silu_car | 640x640 | INT8 | N2X | ORCA1 | 0.6723 | 0.8484 | -- |
| yolov8n_silu_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6725 | 0.8483 | -- |
| yolov8n_silu_car | 640x640 | INT8 | OPENVINO | CPU | 0.6827 | 0.8547 | -- |
| yolov8n_silu_car | 640x640 | FP32 | OPENVINO | CPU | 0.6886 | 0.8574 | -- |
| yolov5su_relu6_car | 640x640 | INT8 | N2X | ORCA1 | 0.6846 | 0.8592 | 43.5 |
| yolov5su_relu6_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6844 | 0.8581 | -- |
| yolov5su_relu6_car | 640x640 | INT8 | OPENVINO | CPU | 0.6948 | 0.8643 | -- |
| yolov5su_relu6_car | 640x640 | FP32 | OPENVINO | CPU | 0.6967 | 0.8642 | -- |
| yolov5su_silu_car | 640x640 | INT8 | N2X | ORCA1 | 0.6850 | 0.8578 | -- |
| yolov5su_silu_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6849 | 0.8567 | -- |
| yolov5su_silu_car | 640x640 | INT8 | OPENVINO | CPU | 0.6962 | 0.8645 | -- |
| yolov5su_silu_car | 640x640 | FP32 | OPENVINO | CPU | 0.7000 | 0.8650 | -- |
| yolov8s_relu6_car | 640x640 | INT8 | N2X | ORCA1 | 0.6916 | 0.8600 | 38.0 |
| yolov8s_relu6_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6919 | 0.8600 | -- |
| yolov8s_relu6_car | 640x640 | INT8 | OPENVINO | CPU | 0.6966 | 0.8633 | -- |
| yolov8s_relu6_car | 640x640 | FP32 | OPENVINO | CPU | 0.7025 | 0.8675 | -- |
| yolov8s_silu_car | 640x640 | INT8 | N2X | ORCA1 | 0.6894 | 0.8603 | -- |
| yolov8s_silu_car | 640x640 | INT8 | TFLITE | EDGETPU | 0.6893 | 0.8602 | -- |
| yolov8s_silu_car | 640x640 | INT8 | OPENVINO | CPU | 0.7005 | 0.8678 | -- |
| yolov8s_silu_car | 640x640 | FP32 | OPENVINO | CPU | 0.7041 | 0.8698 | -- |