Exercises

You can answer all the theoretical questions and, perhaps more importantly, struggle to solve all the code challenges that each exercise contains:

1. In the Getting the data section, a filtering function was applied to the PASCAL VOC 2007 dataset to select only the images with a single object inside. The filtering process, however, doesn't take into account the class balancement.
   Create a function that, given the three filtered datasets, merges them first and then creates three balanced splits (with a tolerable class imbalance, if it is not possible to have them perfectly balanced).
2. Use the splits created in the previous point to retrain the network for localization and classification defined in the chapter. How and why do the performances change?
3. What measures the Intersection over Union metric?

4. What does an IoU value of 0.4 represent? A good or a bad match?
5. What...