To address these limitations, this paper introduces a hybrid detection framework that synergizes YOLOv8 and Fast R-CNN, leveraging their complementary strengths. YOLOv8 enables rapid initial ...

Although CNN-based sonar object detection methods have shown significant improvements over traditional hand-crafted feature extraction techniques, they still face challenges in certain difficult ...

The research article studies the impact of data augmentation, particularly 60˚ rotation, on the performance of a ResNet convolutional neural network (CNN) for brain tumor detection using MRI images. A ...

Abstract: Camouflaged object detection (COD) aims to segment objects that visually ... layer features by bridging the knowledge gap between convolutional neural network (CNN) features, which focus on ...

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator ...

Each tracker was configured using the default parameters from their official repositories. Multi-object tracking solutions today depend heavily on the computational capabilities of the underlying ...

His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] notes that this opens up a lot of creative low-cost detection applications for ...