A Simpson's quick start guide to any Machine Learning image classification project with organized trackable datasets

This article provides a comprehensive guide on how to efficiently start a multiclass classification project using Activeloop Hub's dataset management tool for deep learning applications, with a focus on computer vision. It demonstrates the process of preparing and manipulating datasets, including creating subsets, version controlling datasets, and training a simple CNN model. The example used is the Kaggle Simpsons Characters Dataset, which contains jpg images of every character directly taken and labeled from TV show episodes.