The Real-time DEtection Transformer (RT-DETR) is now supported in Hugging Face's Transformers library. RT-DETR, which is licensed under Apache 2.0, is designed for real-time object detection and is claimed by its authors to outperform YOLO variants. The model's capabilities and performance were highlighted at CVPR 2024. Demo notebooks for fine-tuning and inference are available for users to explore the model's functionalities. Object DEtection Transformer (DETR) was initially developed by Meta.
DETRs Beat YOLOs on Real-time Object Detection CVPR 2024 https://t.co/DT1jlO8LkP https://t.co/MsUESmsxAZ
π Transformers are not here to take part but take over... and down goes real-time object detection! π₯ Enter Real-time DEtection Transformer (RT-DETR) π¦Ύ as suggested capable of real-time object detection. π― Object DEtection Transformer (DETR) is not new (@Meta did it eonsβ¦ https://t.co/d2mo4aDpGf
Real-time DEtection Transformer (RT-DETR) landed in @huggingface transformers π€© with Apache 2.0 license π do DETRs Beat YOLOs on Real-time Object Detection? keep reading π https://t.co/7PV1mQF4X0
RT-DETR is now supported in @huggingface Transformers! π₯ RT-DETR is an Apache 2.0 licensed model capable of real-time object detection. The authors claim better performance than YOLO variants. Demo notebooks (fine-tuning + inference) here: https://t.co/NDhfcFhU4o https://t.co/ArDR1hHCBC
RT-DETR is now supported in @huggingface Transformers! π₯ RT-DETR is capable of real-time object detection. The authors claim better performance than YOLO variants. Demo notebooks (fine-tuning + inference) here: https://t.co/NDhfcFhU4o https://t.co/f45HOg18cp
Real-time DEtection Transformer (RT-DETR) landed in @huggingface transformers π€© do DETRs Beat YOLOs on Real-time Object Detection? π keep reading https://t.co/RFRMiZkgZh