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I don't quite understand the object localization piece of the article. Are there other resources on this topic that explain how do do the same thing (object localization). Or tutorials/examples on this topic?

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It's based on this paper https://arxiv.org/pdf/1512.04150.pdf The approach is different than the Faster R-CNN etc mentioned below as it is not fully supervised, i.e. the position of the objected is not in the training data. I can write a simple tutorial and link in the article and here later today.

I should mention that the accuracy is lower than the methods mentioned below.

> I can write a simple tutorial and link in the article and here later today

That would be fantastic. Thanks!

There are quite a few papers that discuss the application R-CNN (Region-based Convolutional Neural Network) for object detection and classification [1-3]. On websites such as Medium, you can find lots of blog posts on object detection using popular frameworks such as Tensorflow (e.g. https://towardsdatascience.com/how-to-train-your-own-object-...).

[1] Faster R-CNN: https://arxiv.org/abs/1506.01497

[2] Single Shot Multibox: https://arxiv.org/abs/1512.02325

[3] YOLO9000: https://arxiv.org/abs/1612.08242

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