RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...
Abstract: Highway accidents remain a critical public safety challenge, where delayed response times intensify injury severity and fatalities. Traditional systems relying on manual reporting suffer ...
Abstract: In this study, we proposed a new framework for early diagnosis of osteoporosis based on the deep learning architectures applicable to biomedical imaging. Using a large dataset and two modern ...
Please note that the dataset used to train this model is a custom-created, ultra-high-quality dataset derived from MS-COCO. Therefore, a simple comparison with the Val mAP values of other object ...
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