Update README.md

README.md

@@ -1,3 +1,47 @@
 ---
 license: gpl-3.0
+tags:
+  - object-detection
+  - computer-vision
+  - yolov6
+  - yolo
+datasets:
+  - detection-datasets/coco
 ---
+
+### Model Description
+[YOLOv6: A single-stage object detection framework dedicated to industrial applications.](https://arxiv.org/abs/2209.02976)
+
+[YOLOv6-Pip: Packaged version of the Yolov6 repository](https://github.com/kadirnar/yolov6-pip/)
+
+[Paper Repo: Implementation of paper - YOLOv6](https://github.com/meituan/YOLOv6/)
+
+### Installation
+```
+pip install yolov6detect
+```
+
+### Yolov6 Inference
+```python
+from yolov6 import YOLOV6
+
+model = YOLOV6(weights='kadirnar/yolov6l-v3.0', device='cuda:0', hf_model=True)
+
+model.classes = None
+model.conf = 0.25
+model.iou = 0.45
+model.show = False
+model.save = True
+
+pred = model.predict(source='data/images',yaml='data/coco.yaml', img_size=640)
+```
+
+### BibTeX Entry and Citation Info
+ ```
+@article{li2022yolov6,
+  title={YOLOv6: A single-stage object detection framework for industrial applications},
+  author={Li, Chuyi and Li, Lulu and Jiang, Hongliang and Weng, Kaiheng and Geng, Yifei and Li, Liang and Ke, Zaidan and Li, Qingyuan and Cheng, Meng and Nie, Weiqiang and others},
+  journal={arXiv preprint arXiv:2209.02976},
+  year={2022}
+}
+```