I’ve been trying to train a model to predict building age from images scraped from Wikipedia and despite what I’ve tried, it doesn’t perform very well.
Might someone take a quick look at my code to see if there’s anything obvious you’d recommend trying to improve the accuracy?
What I’ve tried:
- Different ways of problem structuring e.g. image regression vs. century bucket classification
- Multiple models
- Multiple image sizes
- Multiple image resizing methods
- Multiple learning rates
- Manually removing problematic images
Thanks very much in advance!
link to Colab