Going deep into object detection – Towards Data Science

With recent advancements in deep learning based computer vision models, object detection applications are easier to develop than ever before. Besides significant performance improvements, these techniques have also been leveraging massive image datasets to reduce the need for large datasets. In addition, with current approaches focussing on full end-to-end pipelines, performance has also improved significantly, enabling real-time use cases. Similar to the blogpost I wrote on the different image classification architectures, I will go over two object detection architectures. I will discuss SSD and Faster RCNN, which are currently both available in the Tensorflow Detection API.