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How to divide the training, validating and testing set?
I read the paper Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing mages , it said that training set contains 120 images, validating set contains 120 images and testing set contains 410 images. But I found that if I divide 0-120 as training set, 121-240 as validating set and 241-650 as testing set, the number of classes are not balance.
In training set:
In validating set:
In testing set:
The text was updated successfully, but these errors were encountered:
How to divide the training, validating and testing set?
I read the paper
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing mages
, it said that training set contains 120 images, validating set contains 120 images and testing set contains 410 images. But I found that if I divide 0-120 as training set, 121-240 as validating set and 241-650 as testing set, the number of classes are not balance.In training set:
In validating set:
In testing set:
The text was updated successfully, but these errors were encountered: