A Hands-On Guide to IceVision Framework for Object Detection

IceVision is a framework for object detection which allows us to perform object detection in a variety of ways using various pre-trained models provided by this framework. It also offers data curation features along with a dashboard for exploratory data analysis. The best feature it has is that it provides an end-to-end deep learning workflow that allows the practitioners to train networks with easy-to-use robust high-performance libraries such as PyTorch-Lightning and FastAI. In this article, we are going to discuss the IceVision framework for object detection with hands-on implementation. The major points that we will discuss here are listed below. Table of Contents What is IceVision?Installing IceVisionData PreparationImporting LibrariesDownload and Prepare a Dataset  Pa
Subscribe or log in to Continue Reading

Uncompromising innovation. Timeless influence. Your support powers the future of independent tech journalism.

Already have an account? Sign In.

📣 Want to advertise in AIM? Book here

Picture of Yugesh Verma
Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
Related Posts
AIM Print and TV
Don’t Miss the Next Big Shift in AI.
Get one year subscription for ₹5999
Download the easiest way to
stay informed