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--- |
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license: gpl-3.0 |
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pipeline_tag: object-detection |
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tags: |
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- AIoT |
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- QNN |
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- LLM |
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--- |
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## YOLOv6m: Object Detection |
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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. |
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### Source model |
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- Input shape: 1x3x640x640 |
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- Number of parameters: 33.24M |
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- Model size: 133.20MB |
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- Output shape: 1x8400x85 |
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The source model can be found [here](https://github.com/meituan/YOLOv6) |
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## Performance Reference |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## Inference & Model Conversion |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## License |
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- Source Model: [GPL-3.0](https://github.com/meituan/YOLOv6/blob/47625514e7480706a46ff3c0cd0252907ac12f22/LICENSE) |
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- Deployable Model: [GPL-3.0](https://github.com/meituan/YOLOv6/blob/47625514e7480706a46ff3c0cd0252907ac12f22/LICENSE) |
