I have got the MSCOCO Detection train data to train a network. Since my deep structure has 76 layers composed of Convolution Layer, MaxPool Layer and BatchNorm with LeakyRelu, I think that the number of train data is not ample. So I would like to know how can I augment more data to my original training data which has ~80k images?
As a reminder, In classification task, I can easily do translation, rotation, scaling, shearing and affine transformations. Since our labels are just a String or integer number which is not related to specific position unless detection labels. But in Detection, we should pay attention more. Because we have Bounding Boxes composed of 4 numbers (x1,y1,x2,y2). So with this consideration in our mind, how can i do a suitable augmentation?
Thanks!