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-42-_png.rf.878ecc6cbf1be345f2c22f8e6f23872d.txt
| 1 0.60693359375 0.4151475694444444 0.03753662109375 0.06673177083333333 | |
| 2 0.453125 0.4474826388888889 0.0210113525390625 0.030544704861111112 | |
| 2 0.3359375 0.5737847222222222 0.04620361328125 0.057942708333333336 | |
| 2 0.38916015625 0.4338107638888889 0.021240234375 0.027628580729166668 | |
| 2 0.2335205078125 0.6180555555555556 0.06817626953125 0.0783962673611111 | |
| 2 0.3564453125 0.4678819444444444 0.027740478515625 0.037055121527777776 | |
| 7 0.457275390625 0.3680555555555556 0.0223236083984375 0.048773871527777776 | |
| 2 0.4599609375 0.4181857638888889 0.0185394287109375 0.027113172743055556 | |
| 2 0.3876953125 0.4813368055555556 0.0294189453125 0.039632161458333336 | |
| 2 0.47216796875 0.3899739583333333 0.01422882080078125 0.019761827256944444 | |
| 7 0.48046875 0.34375 0.01267242431640625 0.025390625 | |
| 2 0.4375 0.4090711805555556 0.014556884765625 0.022189670138888888 | |
| 2 0.40771484375 0.40625 0.013275146484375 0.0203857421875 | |
| 2 0.330322265625 0.8402777777777778 0.10125732421875 0.15234375 | |
| 2 0.5751953125 0.4275173611111111 0.0184326171875 0.027533637152777776 | |
| 2 0.4384765625 0.3791232638888889 0.0118255615234375 0.018012152777777776 | |
| 2 0.42822265625 0.3891059027777778 0.011688232421875 0.017062717013888888 | |