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-22-_png.rf.edb4e8f09e49b769f4143c904ffb485c.txt
| 2 0.38412405062700483 0.5010894898559585 0.02749881346770495 0.04277593206087447 | |
| 7 0.3459357298624191 0.45420252761810265 0.07366286431032636 0.12598318284297738 | |
| 1 0.689453125 0.4956597222222222 0.0850830078125 0.13682725694444445 | |
| 2 0.442626953125 0.4943576388888889 0.0323486328125 0.051323784722222224 | |
| 2 0.454345703125 0.4390190972222222 0.02276611328125 0.0322265625 | |
| 2 0.54931640625 0.4544270833333333 0.0230712890625 0.03439670138888889 | |
| 2 0.439453125 0.4064670138888889 0.01395416259765625 0.022189670138888888 | |
| 2 0.5732421875 0.5538194444444444 0.0390625 0.0661349826388889 | |
| 2 0.615234375 0.4470486111111111 0.021820068359375 0.030300564236111112 | |
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| 2 0.47900390625 0.3713107638888889 0.009521484375 0.015909830729166668 | |