Shypd.aiThe largest open index of AI toolsDAMO-YOLO is an open-source object detection method that offers fast and accurate performance using advanced techniques like NAS backbones and distillation enhancement. It provides highly efficient training strategies and complete tools for deployment.
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DAMO-YOLO is a fast and accurate open-source object detection method developed by the TinyML Team from Alibaba DAMO Data Analytics and Intelligence Lab. It extends the YOLO series with new technologies including Neural Architecture Search (NAS) backbones, efficient Reparameterized Generalized-FPN (RepGFPN), a lightweight head with AlignedOTA label assignment, and distillation enhancement. The tool achieves higher performance than state-of-the-art YOLO series and provides not only powerful models but also highly efficient training strategies and complete tools from training to deployment. It supports various models, including general, light, and 701-category models, and offers tutorials for custom dataset finetuning and TensorRT Int8 Quantization.
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