Threshold for evaluation code R-CNN Follow
Hi Guys I would like if possible how to make this Threshold for Evaluation and validation of created R-CNN object Detector, i tried to make it in the attached scripts but it does not work, I want to make Threshold for score that like below 0.58 that score and bboxes should not be appeared Herein the code:- load('gTruth.mat') output = selectLabels(gTruth,'signal'); if ~isfolder(fullfile('EvaluationData')) mkdir EvaluationData addpath('EvaluationData'); evaluationData = objectDetectorTrainingData(gTruth,... 'SamplingFactor',1,'WriteLocation','EvaluationData'); end imds = imageDatastore(fullfile('EvaluationData')); numImages = height(evaluationData); result(numImages,:) = struct('Boxes',[],'Scores',[]); for i = 1:numImages % Read Image I = readimage(imds,i); % Detect the object of interest [bboxes, scores] = detect(detector,I,'MiniBatchSize', 32); % Store result result(i).Boxes = bboxes; result(i).Scores = scores; end % Convert structure to table results = struct2table(result); overlap = 0.1; % Evaluate Metrics [ap,recall,precision] = evaluateDetectionPrecision(results... ,evaluationData(:,2),overlap); [am,fppi,missRate] = evaluateDetectionMissRate(results,evaluationData(:,2),overlap)
John Michell answered .
2025-11-20
goodRows = [results.Scores] > 0.58; resutls = results(goodRows, :);