Draft plan 1. Decode masks to rotated bounding boxes a. From mark rle to rotated bounding boxes b. TO be discussed: is this a good approach? Main reason, less outputs to learn and it enabled me to use lesson 8 and 9 from fastAi course. 2. Learn coordinates 1 ship a. Create a CSV containing all pictures including 1 ship, and add rotated bboxes to it b. Updated CoordTransform to enable augmentation for these bounding boxes c. Learn with fastai 'default' settings 3. Implement lesson 9 for airbus dataset And first submit to kaggle 4. Try and implement other ideas from lesson 10 onwards