I enjoy learning through open competition. This way someone else has done the very hard work of data collection, and SOTA results are public and detailed. Using fastai v1, and learning it along the way, I teamed up with @kcturgutlu and @radek to achieve 14th out of 894 teams in Kaggle’s Airbus Ship Detection Challenge, narrowly missing a gold medal.
This was basically fastai v1 ‘out of the box’. A world class model was trained in half a dozen lines of code. You can read our solution here https://www.kaggle.com/c/airbus-ship-detection/discussion/71664
Thank you to fastai and jeremy and the community. I only came to pytorch/python early this year through fastai. My mission is to exploit the ‘practical’ side of fastai as a way to experiment and achieve great results quickly and easily.