Learning goals
After this week's exercises, you should be able to:
- Deliberate appropiate evaluation metrics for classifiers.
- Reason about and construct the confusion matrix for classification evaluation.
- Inspect the metrics and reflect on their significance related to the charateristics of the dataset.
- Implement and experiment with HoG features for classification.
- Reason about using HoG features as classifier.
- Reason about HoG features and sliding window for classification of images.