Target detection in side-scan sonar images under complex environments is challenging due to noisy backgrounds, occlusion, and blurred target boundaries, which reduce the accuracy and robustness of ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Real-time object detection and classification. Paper: version 1, version 2. All input images from default folder sample_img/ are flowed through the net and predictions are put in sample_img/out/. We ...

Description This project implements real-time object detection using the Ultralytics YOLO model. It includes a script for performing detection on live camera feeds or video files, saving the annotated ...

As an important economic crop, apples are significantly affected by disease infestations, which can lead to substantial reductions in apple yield and economic losses. To rapidly and accurately detect ...

Abstract: In the present research work, a system is developed that can detect objects in real-time using a combination of the ESP32 CAM module and Python programming. The goal was to show how ...

Abstract: Object detection has become increasingly important in the field of autonomous driving, but the effectiveness of small object detection has always faced challenges such as insufficient ...