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
| 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} | |
| } | |
| ``` |