How to Save Computer Vision Predictions to a Google Sheet

James Gallagher's guide details the process of logging computer vision model predictions to Google Sheets using Python. The project involves using a solar panel detection model hosted on Roboflow to make predictions on images and then saving these predictions to a Google Sheet. It outlines steps to retrieve model predictions, set up Google Sheets API access, and authenticate through OAuth 2.0. The guide provides a Python script to automate this process, detailing how to run inference on multiple images, collect prediction data, and save it in a structured format to a spreadsheet. By following the tutorial, users can integrate this workflow into their computer vision projects, enabling efficient tracking and analysis of model outputs in a familiar spreadsheet format.