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-36-_png.rf.72ba5a04231c4680da0b1b62bbfd08df.txt
| 1 0.3281250000000001 0.4689153439153441 0.07440476190476204 0.10978835978835993 | |
| 2 0.380505009946224 0.5102782758866992 0.028648060594406832 0.04374746575100311 | |
| 2 0.449951171875 0.4683159722222222 0.02508544921875 0.035454644097222224 | |
| 2 0.47509765625 0.3869357638888889 0.01337432861328125 0.019232855902777776 | |
| 2 0.40869140625 0.4539930555555556 0.0232391357421875 0.029839409722222224 | |
| 2 0.2203369140625 0.6293402777777778 0.0638427734375 0.07649739583333333 | |
| 2 0.396240234375 0.5850694444444444 0.046905517578125 0.08002387152777778 | |
| 2 0.46142578125 0.3739149305555556 0.010009765625 0.015543619791666666 | |
| 2 0.67138671875 0.5169270833333334 0.035491943359375 0.04847547743055555 | |
| 2 0.5244140625 0.3687065972222222 0.01036834716796875 0.015787760416666668 | |
| 2 0.4658203125 0.4090711805555556 0.01678466796875 0.022800021701388888 | |
| 2 0.53759765625 0.361328125 0.0092315673828125 0.015245225694444444 | |
| 2 0.5869140625 0.4544270833333333 0.02203369140625 0.034722222222222224 | |
| 2 0.43896484375 0.4038628472222222 0.01512908935546875 0.026896158854166668 | |
| 2 0.380859375 0.4351128472222222 0.02484130859375 0.036919487847222224 | |
| 2 0.56103515625 0.40625 0.0156707763671875 0.02587890625 | |