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-18-_png.rf.58a4986219a3b41f4a0f4659f0e12cea.txt
| 2 0.40478515625 0.4661458333333333 0.0246124267578125 0.036431206597222224 | |
| 2 0.428466796875 0.42578125 0.018157958984375 0.026692708333333332 | |
| 2 0.3984375 0.4210069444444444 0.0164642333984375 0.024156358506944444 | |
| 2 0.44189453125 0.48828125 0.03173828125 0.048014322916666664 | |
| 2 0.4169921875 0.5876736111111112 0.04595947265625 0.06646050347222222 | |
| 2 0.356689453125 0.80859375 0.0816650390625 0.1291232638888889 | |
| 2 0.458984375 0.4357638888888889 0.02191162109375 0.028049045138888888 | |
| 1 0.28466796875 0.5130208333333334 0.0982666015625 0.13487413194444445 | |
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| 2 0.450439453125 0.3940972222222222 0.0136871337890625 0.020616319444444444 | |
| 3 0.278076171875 0.6671006944444444 0.0867919921875 0.1286892361111111 | |
| 2 0.470947265625 0.396484375 0.0162200927734375 0.021267361111111112 | |
| 2 0.5400390625 0.3684895833333333 0.0095977783203125 0.013888888888888888 | |
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| 2 0.46044921875 0.3756510416666667 0.0110321044921875 0.013888888888888888 | |
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| 2 0.43994140625 0.3776041666666667 0.01146697998046875 0.016289605034722224 | |
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| 2 0.46923828125 0.359375 0.00933837890625 0.01416015625 | |
| 3 0.533203125 0.3426649305555556 0.006122589111328125 0.009101019965277778 | |