Is it normal/better to use photo collages (multiple photos in one image) as a dataset instead of single images for training the object detection ssd model?
I am using Tensorflow Object Detection API to make SSD model to identify and detect different leave diseases. My dataset consists of 256x256 leaves (plantvillage dataset), I want my model to be trained for detecting multiple objects as well with different sizes (most of the leaves are almost as big as image itself - which gives bad accuracy for small objects) so I thought combining those pictures into the collages to include several leaves in each picture and creating dataset with the following way, for each label I will use single leaf images, 4 leaves images (2x2 collage) and 9 images (3x3 collage). Do you think that it will give the better results for multiple object detection or i Should stick with single images and it won't change anything? If it works what would you recommend to set for image resize option? Should it be still low like 300x300 or it will be better to have 800x800 since having 9 images in some part?