Imagine stepping outside on a calm morning, feeling nothing but a gentle breeze, but overhead, colossal invisible forces are ...

A team of researchers has developed a cost-effective, high-throughput technology for detecting nanoplastics and microplastics in the environment. These particles are pervasive, posing health and ...

By combining AI-enabled analytics, thermal imaging and geospatial data, data centers can detect and verify physical threats ...

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This metric is particularly useful for evaluating object localization tasks where precise detection and correct classification are critical. Higher mAP values indicate greater prediction accuracy. We ...

Abstract: Current RGB-D methods usually leverage large-scale backbones to improve accuracy but sacrifice efficiency. Meanwhile, several existing lightweight methods are difficult to achieve ...

"This approach ensures that only the most confidently identified fraud cases are retained, enhancing accuracy and reducing unnecessary alarms, making fraud detection more efficient." The method ...

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

and the smoke often bears a close resemblance to mist or fog, which makes prompt and accurate detection difficult and frequently causing the loss of the optimal response window. To tackle this ...