NCS1: Fine-tune TinyYOLO model for custom dataset

[idata]

I was wondering if there was an easy way to fine-tune the TinyYOLO model to detect objects from a custom dataset in real time with bounding boxes and then compile the Caffe files into the NCS graph file. There are 4 classes in my dataset with about 150 images for each class so it is not a big dataset.

[idata]

@user123

I trained with a custom dataset based on the following repository.https://github.com/duangenquan/YoloV2NCS.git

[idata]

What file in the repository do I need to edit to have it train on my own dataset?

[idata]

And I should probably place bounding boxes on the objects in my images? If so, what did you use to do that? Thanks