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

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Ibrahim Hassan Syed
回答： RAJASEKHAR REDDY K 2021-3-8
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);
  1 个评论
Hayat Bouchkouk
Hayat Bouchkouk 2020-3-22
hi Ibrahim Hassan Syed
i have a same problem with dataset can i help me how can i load coco dataset in matlab?plizz

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回答（2 个）

Sourav Bairagya
Sourav Bairagya 2020-2-14
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
RAJASEKHAR REDDY K
Hello
Is your issue solved? I'm having the same issue. Can you please help?
Thank you

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