Faster R-CNN: Down the rabbit hole of modern object detection - Tryolabs Blog

Previously, we talked about object detection, what it is and how it has been recently tackled using deep learning. If you haven't read our previous blog post, we suggest you take a look at it before continuing. Last year, we decided to get into Faster R-CNN, reading the original paper, and all the referenced papers (and so on and on) until we got a clear understanding of how it works and how to implement it. We ended up implementing Faster R-CNN in Luminoth, a computer vision toolkit based on TensorFlow which makes it easy to train, monitor and use these types of models. So far, Luminoth has raised an incredible amount of interest and we even talked about it at both ODSC Europe and ODSC West. Based on all the work developing Luminoth and based on the presentations we did, we thought it would be a good idea to have a blog post with all the details and links we gathered in our research as a future reference for anyone is interested in the topic. Faster R-CNN was originally published in NIPS 2015. After publication, it went through a couple of revisions which we'll later discuss.