From 91f7482138293c39f89115f62b0671fb2554fdb2 Mon Sep 17 00:00:00 2001 From: Alexey <AlexeyAB@users.noreply.github.com> Date: Sun, 01 Apr 2018 18:45:42 +0000 Subject: [PATCH] Update Readme.md --- README.md | 4 +++- 1 files changed, 3 insertions(+), 1 deletions(-) diff --git a/README.md b/README.md index 44680ab..e6b576a 100644 --- a/README.md +++ b/README.md @@ -17,9 +17,10 @@ -|  |  https://pjreddie.com/media/files/papers/YOLOv3.pdf | +|  |  mAP (AP50) https://pjreddie.com/media/files/papers/YOLOv3.pdf | |---|---| +* Yolo v3 source chart for the RetinaNet on MS COCO got from Table 1 (e): https://arxiv.org/pdf/1708.02002.pdf * Yolo v2 on Pascal VOC 2007: https://hsto.org/files/a24/21e/068/a2421e0689fb43f08584de9d44c2215f.jpg * Yolo v2 on Pascal VOC 2012 (comp4): https://hsto.org/files/3a6/fdf/b53/3a6fdfb533f34cee9b52bdd9bb0b19d9.jpg @@ -368,6 +369,7 @@ * **mAP** (mean average precision) - mean value of `average precisions` for each class, where `average precision` is average value of 11 points on PR-curve for each possible threshold (each probability of detection) for the same class (Precision-Recall in terms of PascalVOC, where Precision=TP/(TP+FP) and Recall=TP/(TP+FN) ), page-11: http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf +**mAP** is default metric of precision in the PascalVOC competition, **this is the same as AP50** metric in the MS COCO competition. In terms of Wiki, indicators Precision and Recall have a slightly different meaning than in the PascalVOC competition, but **IoU always has the same meaning**.  -- Gitblit v1.10.0