Instructions to use Cuonglam/vn-lp-y26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Cuonglam/vn-lp-y26 with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("Cuonglam/vn-lp-y26", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
vn-lp-y26 — YOLO26 biển số Việt Nam
Detector YOLO26n train trên dataset VN (Roboflow / winter2897). Dùng trong Camera-AI và Space ALPR.
Files
| Path | Mô tả |
|---|---|
best.pt |
Weights tốt nhất (val) |
training/ |
Notebook Colab, data.yaml, tà i liệu |
runs/vn-lp-y26-local/ |
results.csv, curves, mẫu val |
Usage
python from ultralytics import YOLO model = YOLO("Cuonglam/vn-lp-y26") results = model.predict("image.jpg", conf=0.25)
Hoặc tải file: best.pt ở root repo.
Train config
Xem runs/vn-lp-y26-local/args.yaml và training/colab/train_vn_license_plate.ipynb.
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