Developing the Dataset

In this project, I will be making an image classifier. My previous attempts a while ago I remember did not work. To change it up a bit, I will be using the Pytorch framework. Rather than TensorFlow. As this will be my first time using Pytorch. I will be taking a tutorial before I begin my project. The project is a classifier that spots the difference between bottled oolong tea and bottled green tea.

The tutorial I used was PyTorch’s 60 min blitz. (It did take me more than 60 mins to complete though). After typing out the tutorial I got used to using Pytorch. So I started moving on the project. As this will be an image classifier. I needed to get a whole lot of images into my dataset. First stubbed upon a medium article. Which used a good scraper. But even after a few edits, it did not work.

So I moved to using Bing for image search. Bing has an image API you can use. Which makes it easier to collect images compared to google. I used this article from pyimagesearch. I had a few issues with the API in the beginning. As the endpoints that Microsoft gave me did not work for the tutorial. After looking around and a few edits I was able to get it working.

#machine-learning #python #tea #pytorch #deep-learning