What are the measure for accuracy of multilabel data?
Consider a scenario where you are provided with KnownLabel Matrix and PredictedLabel matrix. I would like to measure the goodness of the PredictedLabel matrix against the KnownLabel Matrix. But the challenge here is that KnownLabel Matrix have few rows only one 1 and other few rows have many 1's (those instance are multi labeled). An example of KnownLabel Matrix is given below. A =[1 0 0 0 0 1 0 0
https://arxiv.org/pdf/1506.01497.pdf
1 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun Abstract—State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [1] and Fast R-CNN [2] have reduced the running time of these detection networks, exposing region proposal computation as
What does the notation mAP@[.5:.95] mean?
For detection, a common way to determine if one object proposal was right is Intersection over Union (IoU, IU). This takes the set $A$ of proposed object pixels and the set of true object pixels $B$ and calculates: $$IoU(A, B) = \frac{A \cap B}{A \cup B}$$ Commonly, IoU > 0.5 means that it was a hit, otherwise it was a fail. For each class, one can calculate the True Positive ($TP(c)$): a proposal
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