June 6, 2024, 10:56 a.m. | CodeTrade India Pvt. Ltd.

DEV Community dev.to

Object detection is a crucial task in computer vision that involves identifying and locating objects within an image or a video stream. The implementation of object detection has become more accessible than ever before with advancements in deep learning libraries like TensorFlow.

In this blog post, we will walk through the process of performing object detection using a pre-trained model in TensorFlow, complete with code examples. Let’s start.

Explore More: How To Train TensorFlow Object Detection In Google Colab: A …

become blog computer computer vision deep learning detection ever image implementation libraries object objectdetection objects pre-trained models process tensorflow through video vision will

Senior Data Engineer

@ Displate | Warsaw

Professor/Associate Professor of Health Informatics [LKCMedicine]

@ Nanyang Technological University | NTU Novena Campus, Singapore

Research Fellow (Computer Science (and Engineering)/Electronic Engineering/Applied Mathematics/Perception Sciences)

@ Nanyang Technological University | NTU Main Campus, Singapore

Java Developer - Assistant Manager

@ State Street | Bengaluru, India

Senior Java/Python Developer

@ General Motors | Austin IT Innovation Center North - Austin IT Innovation Center North

Research Associate (Computer Engineering/Computer Science/Electronics Engineering)

@ Nanyang Technological University | NTU Main Campus, Singapore