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.
