Instructions to use SamTheCoder777/Card_Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use SamTheCoder777/Card_Detector with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("SamTheCoder777/Card_Detector") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 868 Bytes
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license: agpl-3.0
base_model: Ultralytics/YOLOv8
tags:
- yolov8
- onnx
- instance-segmentation
- ultralytics
---
# YOLOv8n-seg (ONNX)
ONNX export of Ultralytics' `yolov8n-seg.pt`, used for instance segmentation.
## License
This model is a derivative of [YOLOv8](https://github.com/ultralytics/ultralytics) by Ultralytics, licensed under [AGPL-3.0](https://www.gnu.org/licenses/agpl-3.0.html).
## Source
- Base model: `yolov8n-seg.pt` ([Ultralytics](https://github.com/ultralytics/ultralytics))
- Format: ONNX
## Citation
```bibtex
@software{yolov8_ultralytics,
author = {Glenn Jocher and Ayush Chaurasia and Jing Qiu},
title = {Ultralytics YOLOv8},
version = {8.0.0},
year = {2023},
url = {https://github.com/ultralytics/ultralytics},
orcid = {0000-0001-5950-6979, 0000-0002-7603-6750, 0000-0003-3783-7069},
license = {AGPL-3.0}
}
``` |