Kaggle: Google Landmark Recognition and Retrieval Challenges

Edit: Didn’t see this was for last year’s competition. Would be interested if anyone is looking into this years.

I am working on these competitions, and there are lots of exciting concepts to explore here. The hardest part is getting the data downloaded, but they have smaller datasets now.

Currently, I am trying to do several things.

  • Transfer learning as I ramp up the number of classifications. (Top 100 - 1000 - 10k… 200k! )
  • Created a GAP loss callback
  • Stratified validation set for my different sets
  • Exploring KNN and retinanet

The 4th place Winner last year used fast.ai, so I figure, it is an excellent place to start!