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 ...
With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
While scouring images from the James Webb Space Telescope, astronomers spotted Capotauro, "one of the most puzzling discoveries" to date. When you purchase through links on our site, we may earn an ...
The YOLO Class Labeling Tool is a comprehensive solution for creating, editing, and managing object detection datasets in YOLO format. It features an intuitive GUI, automatic detection using YOLO/ONNX ...
Edge AI implementation presents significant technical challenges for developers working with resource-constrained embedded systems. Infineon Technologies AG has expanded its Edge AI portfolio with the ...
Introduction: Parasitic infections remain a major public health concern, particularly in healthcare and community settings where rapid and accurate diagnosis is essential for effective treatment and ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
Abstract: Accurate and efficient small object detection using multimodal remote sensing images on resource-constrained aerial platforms is a challenging task. Most existing solutions rely on complex ...
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