Hello, I have two questions:
Would like to know how to fine tune the built in model.
The custom model documentation say it’s possible, but how do we do it?
Do we have to re train the same categories from scratch?
I understand that deepstack used COCO dataset, so we would have to re train using those images and adding what we would like to include, for example our own CCTV images.
I’m finishing tagging a model with three thousands of images. All the previous models that I’ve made were trained on Colab but they had a few hundred images and I had to play with some parameters so the training could finish before Colab disconnected me for passing max time connection. So now that I have much more data I’m thinking that using Colab would not be possible if I want to optimize reasonably well? I’m wrong about that? If so I will need to buy a GPU to train locally.
Thanks very much