Check out AUC's interactive map, parking map, printable map, jogging and cycling map and our directional map.

本文详细介绍了分类任务的混淆矩阵、精度、召回率、f1分数、roc曲线与auc，回归任务的mse、rmse、mae和r-误差，以及深度学习中针对分类和目标检测的性能指标，如iou、ap、map和fps。

Sep 20, 2019 · To understand mAP, let’s go through precision and recall first. Recall is the True Positive Rate i.e. Of all the actual positives, how many are True positives predictions. Precision is the Positive prediction value i.e. Of all the positive predictions, how many are True positives predictions. Read more in evaluation metrics for classification.

Mean Average Precision (mAP) is a metric used to evaluate object detection models such as Fast R-CNN, YOLO, Mask R-CNN, etc. The mean of average precision (AP) values are calculated over recall values from 0 to 1. mAP formula is based on the following sub metrics: Let’s discuss each sub-metric and how it is interpreted.

AUC 2020 Residency Map. AUC 2020 Residency Map. Open full screen to view more. This map was created by a user. Learn how to create your own. ...

May 27, 2022 · We use mean Average Precision (mAP) when evaluating object detection models like YOLO and SSD. This article explains the objective of mAP and how to calculate it.

Jul 14, 2020 · This post offers the clearest explanation on the web for how the popular metrics AUC (AUROC) and average precision can be used to understand how a classifier performs on balanced data, with the next post focusing on imbalanced data.

The Rare Books and Special Collections Library maintains over 5,000 maps documenting Egypt and the Middle East, with an emphasis on Cairo’s urban development.

AUC Tahrir Square. 113 Kasr El Aini St., P.O. Box 2511 Cairo, 11511, Egypt t 20.2.2615.1000 hotline: 19282

Learn about our guidelines on how to access the AUC New Cairo campus and check the maps to find your way around campus. Parking is available from Gate 1 (Visitor's Gate). Once you have parked, follow the signs directing you to the gathering point for the tour (beside the flags).