keremberke/license-plate-object-detection
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How to use joker5914/yolov8n-license-plate with ultralytics:
from ultralytics import YOLOvv8
model = YOLOvv8.from_pretrained("joker5914/yolov8n-license-plate")
source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
model.predict(source=source, save=True)YOLOv8n fine-tuned on keremberke/license-plate-object-detection for license-plate detection.
Trained on Hugging Face Jobs from Dismissal.
yolov8n.ptkeremberke/license-plate-object-detection (full)Final metrics (last epoch):
epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
96,3639.87,0.89518,0.315,0.98844,0.98122,0.97174,0.983,0.70103,1.05591,0.35886,1.01002,3.21885e-05,3.21885e-05,3.21885e-05
best.pt — best Ultralytics checkpoint (use with YOLO(...))best.onnx — ONNX export ready for Hailo Dataflow Compilerresults.csv — per-epoch loss + mAP metrics