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--- |
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license: agpl-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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--- |
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## YOLOv10x: Object Detection |
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YOLOv10x is the largest and most powerful model in the YOLOv10 series, tailored for scenarios with extremely high demands on detection accuracy. It features a very deep architecture and incorporates state-of-the-art techniques such as an anchor-free detection mechanism, decoupled head design, and multi-scale feature fusion. YOLOv10x achieves exceptional recognition precision and robustness in complex environments while maintaining efficient end-to-end inference. It is ideal for high-stakes applications like autonomous driving, smart cities, and precision industrial vision where top-tier accuracy and reliability are critical. |
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### Source model |
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- Input shape: 1x3x640x640 |
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- Number of parameters: 30.34M |
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- Model size: 112.73M |
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- Output shape: 1x300x6 |
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The source model can be found [here](https://github.com/THU-MIG/yolov10) |
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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: [AGPL-3.0](https://github.com/THU-MIG/yolov10/blob/main/LICENSE) |
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- Deployable Model: [AGPL-3.0](https://github.com/THU-MIG/yolov10/blob/main/LICENSE) |
