Shypd.aiThe largest open index of AI toolsRT-DETR is an open-source, real-time object detection transformer model. It is designed to outperform YOLO models in real-time object detection tasks, offering implementations in PaddlePaddle and PyTorch.
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RT-DETR is an official implementation of the Real-Time DEtection TRansformer, a cutting-edge object detection model that surpasses YOLO models in real-time performance. Developed for CVPR 2024, this open-source project provides robust solutions for various object detection challenges. It supports both PaddlePaddle and PyTorch frameworks, making it versatile for different development environments. The project has seen continuous updates, including the release of RT-DETRv2 and RT-DETRv4, which leverage Vision Foundation Models for enhanced performance without additional inference latency. It also features support for sliced inference for small object detection and integration with Hugging Face Transformers and Ultralytics.
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