Object Detection
ultralytics
computer-vision
yolov8
vehicle-detection
traffic-analysis
highway-monitoring
Instructions to use vietnguyennn0705/highway-vehicle-detection-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use vietnguyennn0705/highway-vehicle-detection-code with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("vietnguyennn0705/highway-vehicle-detection-code") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
highway-vehicle-detection-code / finetune_dataset /labels /Screenshot-16-_png.rf.abe7bf448ccb9f3b8ff1375731649bd3.txt
| 2 0.354248046875 0.5486111111111112 0.040618896484375 0.056966145833333336 | |
| 2 0.2374267578125 0.7677951388888888 0.09136962890625 0.11751302083333333 | |
| 2 0.37841796875 0.7265625 0.06768798828125 0.10259331597222222 | |
| 2 0.427490234375 0.5342881944444444 0.033843994140625 0.049886067708333336 | |
| 2 0.4677734375 0.4058159722222222 0.0139007568359375 0.022352430555555556 | |
| 2 0.31103515625 0.5169270833333334 0.04132080078125 0.047119140625 | |
| 2 0.3720703125 0.4618055555555556 0.02752685546875 0.034857855902777776 | |
| 3 0.44384765625 0.4338107638888889 0.023284912109375 0.037923177083333336 | |
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| 2 0.485107421875 0.3650173611111111 0.01094818115234375 0.017320421006944444 | |