rtdetr_v2_r18vd is a real-time object detection model developed by Peking University, based on the RT-DETR architecture and trained on the COCO dataset. It supports inference through the Hugging Face Transformers library and is suitable for computer vision applications requiring fast and accurate detection. The model card includes performance metrics and usage instructions for integration into Python projects.
Rtdetr V2 R18vd sits in PulseGate's Other AI category. It focuses on performing real-time object detection on images without building a custom detection model. It is built as an open-source project for developers. Rtdetr V2 R18vd is open source under the Open Source license. Rtdetr V2 R18vd is available on the web and API.
Peking University builds and maintains Rtdetr V2 R18vd, and the product first shipped in 2024. Key capabilities include Object Detection, Real-time Detection, and COCO Trained.
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