Hey there! Awesome Community here, I love it.
I hope you can help me understand the concept of pretraining.
My problem: I would like to track mouse movement for a neurological lab experiment.
What I have done so far: I developed a simple dataset of mice in lab enviroment (3000 images), now I would like to detect them (a simple detection in a 7x7 grid), therefore I use a simpler version of the YOLO-Obj. detetection algorithm.
My question: I would like to pretrain the model on ImageNet’s mouse images. Since this is a classification task, I am not sure how to implement this correctly. I thought of isolating the convolution layers and train them on classifying mouse images, is this correct? What would do the job?
If you have any other ideas how to approach the problem, let me know.
THANKS in advance!