Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

a global leader in crisis detection and monitoring, has announced a significant expansion of its data sources through an official integration with Reddit's Data API. This partnership enables ...

BENGALURU: Researchers at the Indian Institute of Science (IISc) have developed an innovative solution to a persistent challenge in Mixed Reality (MR) technology for industrial applications: the ...

Abstract: Object detection methods using deep convolutional neural networks (CNNs) have derived major advances in normal images. However, such success is hardly achieved with adverse weather due to a ...

While one NPU handles image processing, the other focuses on object detection and advanced analytics. This dual NPU concept was introduced to ensure video quality and analytics have independent ...

Consequently, the proposed GMS-YOLO algorithm not only demonstrates superior detection performance but also maintains a relatively low model complexity, significantly enhancing the efficiency and ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

It includes customizable detection rules and out-of-the-box coverage for PII, financial, and healthcare data to help you stay ahead of breaches and compliance violations. Web API Protection (WAF and ...