How to perform Faster RCNN on my own dataset in Matlab?

I am using Matlab Faster RCNN example which use its own dataset (Vehicle dataset). I want to use my own dataset to train Faster RCNN. Can anyone please let me know how can I load my own dataset? I have also created ground truth.

I have confusion here. How can I add my own data here?

data = load('fasterRCNNVehicleTrainingData.mat');

trainingData = data.vehicleTrainingData; trainingData.imageFilename = fullfile(toolboxdir('vision'),'visiondata', ... t

rainingData.imageFilename);

[Hayat Bouchkouk]

hi Ibrahim Hassan Syed

i have a same problem with dataset can i help me how can i load coco dataset in matlab?plizz

Answer 1

[Sourav Bairagya]

After you prepared ground truth from your dataset, load that ground truth data. Now, extract the training data from that ground truth object. This training data is stored in a two-column table format, where the first column contains the image file paths and the second column contains the vehicle bounding boxes.

data = load('fasterRCNNVehicleTrainingDataGroundTruth.mat');
vehicleDataset = data.vehicleTrainingData;

Now, you can follow the steps as mentioned in this following example for arranging your dataset for training.

https://www.mathworks.com/help/vision/ref/fasterrcnnobjectdetector.html

Answer 2

[RAJASEKHAR REDDY K]

Hello

Is your issue solved? I'm having the same issue. Can you please help?

Thank you