Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...

Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

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 ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...

when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...

1 Department of Computer Science, The University of Zambia, Lusaka, Zambia. 2 Department of Clinical Care, Levy University Teaching Hospital, Lusaka, Zambia. This paper focuses on the use of YOLOv12 ...

This repository contains a Python script for performing object detection on images using the YOLOv5 model. The detected objects are saved to a PostgreSQL database, and the results can be visualized ...