I assume you have created the ground truth annotations for the 3000 images?
If so, you could try to just use a pre-trained ImageNet model, remove the last classification layer, add your position regression layer to the model, and retrain it.
If you have a virgin YOLO model, you could probably pre-train your model with mouse/non-mouse images and then apply the aforementioned procedure.
Would this work for you?