Image Classification - Weekly Check-in 7

Published: 07/13/2020

End of Week 6  - 13/07/2020

What did you do this week?

I added example usage for using the OpenCV image processing operations to pre-process data before feeding into a Scikit-Learn classification model using DFFML's Command Line Interface. The dataset I used is the FLOWER17 dataset, to classify 17 flower species using their color, shape and texture as their feature maps to feed to the model! Although the accuracy isn't quiet good right now but it can get better if more pre-processing is done on the dataset especially if it's a multi-label classification problem. I've also started working to add pre-trained Convolutional Neural Networks.

What is coming up next?

Next, I will be adding pre-trained CNNs for the purpose of Image classification using Transfer Learning to DFFML.

Did you get stuck anywhere?

I had some issues with the performance of my laptop while training and testing on a large dataset of images. I have since shifted to using the Google Cloud Platform as suggested by my mentor and things have been going a lot smoother and faster now! :D

Thank you for reading!