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
Upload folder using huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,3 +1,36 @@
|
|
| 1 |
---
|
| 2 |
license: agpl-3.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: agpl-3.0
|
| 3 |
+
base_model: Ultralytics/YOLOv8
|
| 4 |
+
tags:
|
| 5 |
+
- yolov8
|
| 6 |
+
- onnx
|
| 7 |
+
- instance-segmentation
|
| 8 |
+
- ultralytics
|
| 9 |
---
|
| 10 |
+
|
| 11 |
+
# YOLOv8n-seg (ONNX)
|
| 12 |
+
|
| 13 |
+
ONNX export of Ultralytics' `yolov8n-seg.pt`, used for instance segmentation.
|
| 14 |
+
|
| 15 |
+
## License
|
| 16 |
+
|
| 17 |
+
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).
|
| 18 |
+
|
| 19 |
+
## Source
|
| 20 |
+
|
| 21 |
+
- Base model: `yolov8n-seg.pt` ([Ultralytics](https://github.com/ultralytics/ultralytics))
|
| 22 |
+
- Format: ONNX
|
| 23 |
+
|
| 24 |
+
## Citation
|
| 25 |
+
|
| 26 |
+
```bibtex
|
| 27 |
+
@software{yolov8_ultralytics,
|
| 28 |
+
author = {Glenn Jocher and Ayush Chaurasia and Jing Qiu},
|
| 29 |
+
title = {Ultralytics YOLOv8},
|
| 30 |
+
version = {8.0.0},
|
| 31 |
+
year = {2023},
|
| 32 |
+
url = {https://github.com/ultralytics/ultralytics},
|
| 33 |
+
orcid = {0000-0001-5950-6979, 0000-0002-7603-6750, 0000-0003-3783-7069},
|
| 34 |
+
license = {AGPL-3.0}
|
| 35 |
+
}
|
| 36 |
+
```
|