How To Set Up Your System for Object Detection Models

How To Set Up Your System for Object Detection Models

You should start from the end to do it right at your first attempt. In this article, I would discuss the strategy you need to implement an object detection model successfully at your first attempt.

Computer vision is a popular area of artificial intelligence nowadays. Object detection is a particular task in computer vision. It helps machines to identify a particular set of objects without the help of human eyes. Many applications like — face detection for surveillance in the protected areas, footfall counting in a store, object detection with tracking to estimate the speed of a vehicle, fault detection in a product in the manufacturing industries, etc. — are using object detection techniques.

In different social media, I saw many machine learning enthusiasts are trying out different object detection techniques and sharing their results.

Somehow, I was a bit skeptical about applying these object detection techniques. I had a fair idea of the fundamentals of deep learning algorithms and approaches for general machine learning problems, NLP, and Computer Vision. I worked on some text-based models too. But Computer Vision always repelled me for some unknown reason.

I avoided working on vision-related projects throughout my career. I used to pass it on to my colleagues. But I couldn’t do it for long. A situation arose when I could not avoid it anymore. I had to do some object detection tasks related to a particular context. So I decided to give it a shot.

At first, I was not sure about where to start. I did lots of web searches and readings to find suitable material that can guide me through. I realized that there are lots of articles about object detection, but most of them are not complete. As it was a new field for me and I had a time constraint, I needed detailed guidance about each step of the procedure and I also needed a strategy for quick implementation of the model.

I found some good articles on — Medium, Analytics Vidya, Machine Learning Mastery, etc. But when I was going to implement it, I faced lots of challenges related to system setup and model execution.

I faced different error messages, which I could not understand. It took days to figure out the reasons for such errors. And finally, I understood that you need to make a list of requirements and follow a sequential approach to succeed in this journey.

In this article, I would discuss the strategy you need to implement an object detection model successfully at your first attempt.

data-science computer-vision object-detection system-requirements installation

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

How to Find Ulimit For user on Linux

Explains how to find ulimit values of currently running process or given user account under Linux using the 'ulimit -a' builtin command.

MEAN Stack Tutorial MongoDB ExpressJS AngularJS NodeJS

MEAN Stack Tutorial MongoDB ExpressJS AngularJS NodeJS - We are going to build a full stack Todo App using the MEAN (MongoDB, ExpressJS, AngularJS and NodeJS). This is the last part of three-post series tutorial.

Applications Of Data Science On 3D Imagery Data

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

Creating RESTful APIs with NodeJS and MongoDB Tutorial

Creating RESTful APIs with NodeJS and MongoDB Tutorial - Welcome to this tutorial about RESTful API using Node.js (Express.js) and MongoDB (mongoose)! We are going to learn how to install and use each component individually and then proceed to create a RESTful API.

systemctl List All Failed Units/Services on Linux

Explains how to use the systemctl command to list all failed units or services on Debian, Ubuntu, CentOS, Arch, Fedora, and other Linux distros.