For object detection in complex dark environments, the existing methods generally have problems such as low detection accuracy, false detection and missed detection. These problems lead to a lack of ...

The DEtection TRansformer (DETR) and the YOLO series have been at the forefront of advancements in object detection. The RT-DETR, a member of the DETR family, has notably addressed the speed ...

Human fingers sensed tiny disturbances in sand before reaching a hidden cube, outperforming a robot in overall detection ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...

(NASA/SAO/CXC/Mustafa Muhibullah (University of Alabama)) When we look at the night sky, darkness seems to fill the spaces between the stars. But what if some of the most powerful objects in nearby ...

Open-vocabulary object detection has quietly become one of the most consequential ideas in modern computer vision. Instead of ...

A 2025 study compares YOLOv8 across Raspberry Pi 5 and Jetson Orin hardware, revealing the trade-offs behind real-time drone ...

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Add Yahoo as a preferred source to see more of our stories on Google. The black ring and central dot show infrared image of a distant galaxy distorted by a gravitation lens. (CREDIT: Devon Powell, Max ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.