mAP(mean average precision) is an important parameter to tell whether an object detection model is good. Here I represent a python code to calculate mAP with given boxes edge from your prediction and ...

Mathematics behind mAP. The area under the PR curve is used to determine the AP. The mean average precision (mAP) is a common metric used to assess the accuracy of an object detection model. The mAP ...

Salient object detection (SOD) pre-processes downstream computer vision tasks. Based on the Saliency and Detail Map Interactive Model for Salient Region Detection, we constructed detail maps. In this ...

Object detection in high-resolution aerial images is a challenging task because of 1) the large variation in object size, and 2) non-uniform distribution of objects. A common solution is to divide the ...

The second stage projects the 3D proposal bounding boxes to the image and BEV feature maps and sends the corresponding map crops to a detection header for classification and bounding-box regression.