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Thanks a lot for your help so far! I was able to initialize my first training. I've got a few other questions now. Should I expect a significant difference in perfromance between a model with 2000 images of just one class vs the same set of images with 5 different classes (additional objects...

So how important is it to include negative examples? Creating a dataset from Open Images V7 will not have any, right? If I have my collection of images for just a single class, do I need to throw in random images without any labels?

Can I then use the web UI to initialize and monitor the training? Will it let me use class names that are not on the list under the "i" tooltip?

Couple of months ago, I started reading about image classification and object recognition. I was trying to learn how to do transfer learning on pre-trained models. I set up the environment, struggled to configure Tensorflow, CUDA, etc. I prepared a collection of images (more than 1000) for just...