Weights & Biases and Hub - best practices for tasty classification models for computer vision

This text discusses a tutorial on using Activeloop Hub for handling computer vision datasets in machine learning tasks. It covers the process of setting up and uploading datasets to the platform, as well as image pre-processing, model creation, and training. The author emphasizes the advantages of using Activeloop Hub over traditional methods, such as its ability to store multidimensional arrays and version control datasets similar to git.