Can somebody explain or link a paper about clusters and scales? I think the clusters are basically what Jeremy was using for the anchor boxes last night when we started out with all of them even (1 cluster) and then added different sizes (so for YOLOv3 it would have 9 clusters). But would the scale mean that each of these will be a different size, so does this mean that there will be 27 total anchor boxes of the different dimensions (clusters) and each will have a small, medium, and large size (scale)?

From YOLOv3 last paragraph of 2.3

We still use k-means clustering to determine our bounding

box priors. We just sort of chose 9 clusters and 3

scales arbitrarily and then divide up the clusters evenly

across scales. On the COCO dataset the 9 clusters were:

(10×13),(16×30),(33×23),(30×61),(62×45),(59×

119),(116 × 90),(156 × 198),(373 × 326).