Update README.md

README.md

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-license: gpl-3.0
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+---
+license: gpl-3.0
+pipeline_tag: object-detection
+tags:
+- AIoT
+- QNN
+- LLM
+---
+
+![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F20250317092602_20250221090145_yolo.png&w=640&q=75)
+
+## YOLOv6m: Object Detection
+
+YOLOv6 is an advanced real-time object detection model based on the "You Only Look Once" framework. It achieves faster inference speeds while maintaining high accuracy, making it suitable for various edge devices and high-performance servers. YOLOv6 enhances its ability to detect small objects and improves the model's generalization performance by optimizing the network architecture and introducing new loss functions. Additionally, YOLOv6 supports multi-scale training, ensuring excellent performance across different resolutions. It is widely applied in areas such as video surveillance, autonomous driving, and intelligent security.
+
+### Source model
+
+- Input shape: 1x3x640x640
+- Number of parameters: 33.24M
+- Model size: 133.20MB
+- Output shape: 1x8400x85
+
+The source model can be found [here](https://github.com/meituan/YOLOv6)
+
+## Performance Reference
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## Inference & Model Conversion
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## License
+
+- Source Model: [GPL-3.0](https://github.com/meituan/YOLOv6/blob/47625514e7480706a46ff3c0cd0252907ac12f22/LICENSE)
+
+- Deployable Model: [GPL-3.0](https://github.com/meituan/YOLOv6/blob/47625514e7480706a46ff3c0cd0252907ac12f22/LICENSE)