object detection物体检测基本概念

1.precision-recall

https://cn.mathworks.com/help/vision/ref/evaluatedetectionprecision.html?requestedDomain=www.mathworks.com#outputarg_precision

averagePrecision — Average precision
numeric scalar | vector

Average precision over all the detection results, returned as a numeric scalar or vector. Precision is a ratio of true positive instances to all positive instances of objects in the detector, based on the ground truth. For a multiclass detector, the average precision is a vector of average precision scores for each object class.

recall — Recall values from each detection
vector of numeric scalars | cell array

Recall values from each detection, returned as a vector of numeric scalars or as a cell array. Recall is a ratio of true positive instances to the sum of true positives and false negatives in the detector, based on the ground truth. For a multiclass detector, recalland precision are cell arrays, where each cell contains the data points for each object class.

precision — Precision values from each detection
vector of numeric scalars | cell array

Precision values from each detection, returned as a vector of numeric scalars or as a cell array. Precision is a ratio of true positive instances to all positive instances of objects in the detector, based on the ground truth. For a multi-class detector, recall and precision are cell arrays, where each cell contains the data points for each object class.

 
posted @ 2017-12-28 08:29  wordchao  阅读(335)  评论(0编辑  收藏  举报