Building great ML models with Roboflow
Recently, I published an article in “Towards AI” on how to train a YOLO v5 model that can be used by Vector to detect another Vector. Brad Dwyer, founder of Roboflow, read the article and reached out to me to offer a free upgraded Roboflow account which provides for all the functionality that Roboflow including the ability to release publically available datasets. Thanks Brad!
So that motivated me to work further on this. As I have documented before, the main barrier to using supervised Machine Learning (ML) aka Deep Learning (DL)is the requirement of large volumes of high quality labelled data. Companies such as Google and Facebook can apply DL in far many sophisticated ways because they have access to huge volumes of labelled data. There are many reasons that drive the advantage: (i) A billion plus users, (ii) Inbuilt labelling techniques in products that users can easily use to supply labelled data, and (iii) An early mover advantage where these companies understood the …