Custom Object Detection| [phone] for query| MATLAB using Deep Learning |

In this video, I've described how to implement object detection in Matlab using Deep Learning.

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The source code is given below:

clear
% Load the ground truth data
% Update the path to the image files to match the local file system

% Display a summary of the ground truth data
summary(DaataAndCars)

% Only keep the image file names and the stop sign ROI labels
carFront = DaataAndCars(:, {'imageFilename','carRear'});

% Display one training image and the ground truth bounding boxes

figure
imshow(I)

% A trained detector is loaded from disk to save time when running the
% example. Set this flag to true to train the detector.

% Set training options
options = trainingOptions('sgdm',...
'MiniBatchSize', 128, ...
'InitialLearnRate', 1e-3, ...
'LearnRateSchedule', 'piecewise', ...
'LearnRateDropFactor', 0.1, ...
'LearnRateDropPeriod', 100, ...
'MaxEpochs', 100, ...
'Verbose', true);

% Train an R-CNN object detector. This will take several minutes.
rcnn = trainRCNNObjectDetector(carFront, cifar10Net, options, ...
'NegativeOverlapRange', [0 0.3], 'PositiveOverlapRange',[0.5 1])

% Read test image

% Detect stop signs
[bboxes,score,label] = detect(rcnn,testImage,'MiniBatchSize',128)

% Display the detection results
[score, idx] = max(score);

bbox = bboxes(idx, :);
annotation = sprintf('%s: (Confidence = %f)', label(idx), score);

outputImage = insertObjectAnnotation(testImage, 'rectangle', bbox, annotation);

figure
imshow(outputImage)

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[onurcanyldz]

how can we train it for more than 2 classes

[tolgaklc]

hi nice video. I want to detect bottles. Like water bottles, coke bottles etc. How can I do that?