Accurate detection of anthropogenic riverine debris is essential for environmental monitoring and sustainable waterway management. While deep learning-based object detection methods have shown ...
In this research, we explore the few-shot object detection application for identifying concealed objects in sub-terahertz security images, using fine-tuning based frameworks. To adapt these machine ...
US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...
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