How to Upload Files into Google Colab

James Gallagher's guide, published on September 5, 2024, explores efficient methods for uploading files into Google Colab, particularly highlighting two primary options: using Google Drive and wget. Mounting Google Drive allows users to store files permanently in the cloud, facilitating easy access across multiple sessions without the need for repeated uploads. This integration, achieved with a few lines of code, is particularly beneficial for handling large datasets, such as those used in computer vision projects. Alternatively, wget enables users to download files directly from external sources like CDNs, bypassing the slower process of manual uploads by utilizing Colab's back-end capabilities. The guide emphasizes the practicality of these methods for those working with extensive datasets and offers a reference to Roboflow Notebooks, which provides tutorials for training computer vision models.