[D] Tips on “unsupervised” custom object detection?
Is there any way to automatically label objects when training an object detection model library from scratch? I’ve begun working through tutorials, eg TensorFlow’s post here, but common methods require labelled training data.
Perhaps there are established techniques to partially label training data at scale, or common methods to adapt existing libraries? Please forgive my ignorance, I just don’t know where to start googling.