Yolo Anchor Boxes

[ai_curious]

This related thread may also be of interest…you can compare with the explanations I wrote today

Where are Anchor Boxes used?

Here’s an explanation that assumes v2 Think of the grid cells and anchor boxes as a set of separate detectors each of which requires training in order to make predictions. For v2, that is S*S*B detectors. Eg 19*19*2= 722 separate prediction vectors produced per image per forward propagation of the network. Training During training, most of the ground truth vectors are all zero - there is nothing in the image those detectors are ‘responsible’ for predicting. Where there is an object, the cor…