PekingU/rtdetr_r50vd is an implementation of the RT-DETR (Real-Time Detection Transformer) model with a ResNet-50 backbone. It performs real-time object detection on the COCO dataset. The model is provided as a Hugging Face repository with integration for the Transformers library, allowing easy loading and inference for computer vision applications.
Rtdetr R50vd is an Other AI project. It focuses on detecting and localizing objects in images with high speed and accuracy using an end-to-end transformer detector. It is built as an open-source project for developers. Rtdetr R50vd is open source under the Apache-2.0 license. It ships for the web and API.
Behind Rtdetr R50vd is Peking University, and it first shipped in 2023. The project is developed in the open on GitHub with 5.4k stars and 3 commits in the last 90 days. Key capabilities include Object Detection, Real-time Inference, and COCO Dataset. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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