Hello everyone!
What approach did you take to solve this problem?
Well, I used two models:
-
YOLO for image segmentation and polygon estimation. The idea is to use it to estimate polygons in the test set.
- A hybrid model where I use EfficientNet to analyze images and a Dense component to process image metadata. The metadata includes 'img_origin', 'placement', and the polygons.
Just efficientV2net will do the job. Breaking the 1.0 public score never really mattered. Shake ups are really painful. Anyways, favoured me here😂😂
Fent