Tag: object detection

Demystifying Object Detection with TensorFlow Hub

Introduction Object detection is a computer vision technique that enables machines to identify and localize objects within an image or a video. It has numerous applications, including autonomous vehicles, surveillance systems, image understanding, and augmented reality. TensorFlow, a popular open-source machine learning framework, offers a powerful toolkit for implementing object detection models. In this blog […]

Deep Learning-Based Object Detection Algorithms

Deep learning has revolutionized object detection, enabling accurate identification and classification of objects in images and videos. This technical overview explores the key concepts and techniques behind deep learning for object detection, including convolutional neural networks (CNNs), region-based CNNs, and one-shot learning. We also discuss the challenges and future directions of this rapidly evolving field.

Object Detection using YOLOv5: A Simple Guide

YOLOv5 is one of the popular object detection algorithm YOLO (You Only Look Once) which was released in June 2020 and was developed by Glenn Jocher and the team at Ultralytics. YOLOv5 is a single-stage object detection algorithm, which means that it performs object detection in a single pass through the network, as opposed to […]