RT-DETR (Real-Time DEtection TRansformer) is an object detection model developed by Peking University. This variant uses a ResNet-50 backbone with visual decoder and is trained on COCO and Objects365. It offers strong performance for real-time object detection and is available through the Hugging Face Transformers library.
Rtdetr R50vd Coco O365 is an Other AI product. Fast and accurate real-time object detection in images using an end-to-end transformer architecture. It is built as an open-source project for developers. Rtdetr R50vd Coco O365 is open source under the Apache-2.0 license. It runs on the web and API.
It is developed by Peking University (China), and the product first shipped in 2023. Development happens publicly on GitHub with 5.4k stars and 3 commits in the last 90 days. Key capabilities include object detection, real-time detection, and transformer based.
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