This project aims to develop an object detection model using deep learning to detect and classify objects within images. It uses a Convolutional ... Fully Connected Layers: Converts extracted features ...

Computer vision is the field of computer science that deals with enabling machines to understand and analyze visual data, such as images and videos. One of the most common and useful applications ...

Image classification and object detection techniques are important methods when it comes to working on the domain of computer vision. These techniques help machines understand and identify real-time ...

Abstract: One of the known computer vision tasks is image ... This paper discusses waste object detection, a part of the waste segregation process based on CNN hierarchical image classification ...

Object detection is a generalized term in computer vision for image classification. Although classification assigns a single label to an image, object detection determines multiple objects within an ...

arXiv. 6 Szegedy et al. 2015. Rethinking the Inception Architecture for Computer Vision. arXiv. 7 Sharma 2019. Image Classification vs. Object Detection vs. Image Segmentation. Medium. 23 Feb 2020. 8 ...

Abstract: This Object detection and classification using Hyperspectral images is a critical aspect of remote sensing and computer vision. This technology involves identifying objects of interest ...

Object detection represents a fundamental and intricate task in computer vision. It centers on precisely ... bounding box coordinates, and class, the You Only Look Once (YOLO) model divided the image ...