Shypd.aiThe largest open index of AI toolsDEIMv2 is an open-source real-time object detection framework that leverages DINOv3 features. It offers various model sizes, from ultra-light to extra-large, achieving state-of-the-art performance in object detection, pose estimation, and instance segmentation.
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DEIMv2 is an advanced, open-source framework for real-time object detection, pose estimation, and instance segmentation. It builds upon the DEIM framework by integrating the rich features of DINOv3, offering state-of-the-art performance across a range of model sizes, from ultra-light to X-large. The S-sized model notably surpasses 50 AP on the challenging COCO benchmark. DEIMv2 supports various vision tasks and provides detailed instructions for environment setup, data preparation (including COCO2017 and custom datasets), and model training, testing, and tuning. It also includes tools for deployment to ONNX and TensorRT, making it adaptable for diverse real-world scenarios and applications.
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