I’m working on biological cell detection in images. There are many cells in the image and some cells are stained with different color (e.g. brown, red, etc). I created a training data set containing one cell type (>150; distinct dark brown). I trained the model based on the “halolens” example; except the lowest loss was large in my opinion (>15). My detection failed to detect any of those cells, while some detected “objects” was light messy background.
Any advice what i did wrong? Do I have to include background or other objects?
PS. I am new, but I managed successfully to run ImageAI example/tutorials.