Image Recognition Model Generator

Overview

Image-Recognition-Model-Generator

What exactly does this project do?

  1. The user enters 1 or more queries
  2. A webscraper searches on Google Images and downloads all images under that query. We used Selenium and Chromium for this
  3. The images are pre-processed to get them ready for input into a ML model
  4. The images are sent into a TensorFlow image recognition model, and a model is trained based on the images
  5. The model is complete, and trained on the inputted data!
Owner
Christopher Oka
Christopher Oka
SRA's seminar on Introduction to Computer Vision Fundamentals

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