Using publicly available pre-trained Machine Learning models with Vector

Use pre-trained models available at Roboflow

Figure 1: Vector successfully recognizes me as a human

In the world of Machine Learning (ML), one of the hardest tasks is to bootstrap your application with a trained model. The process of generating a model involves some complex steps of (i) Creating a valid labelled dataset and then (ii) Selecting the right kind of Machine Learning model to train on this dataset. If you are looking to understand this process better, there is material on Machine Learning Operations that we have created at ‘Learn With A Robot’ here and here.

Do you always need to train a model?

No. The great news is that you can bootstrap your application on an existing machine learning models and then use the art of transfer learning to adapt that model to your specifc setting. But where do you find an existing ready to use model?

Roboflow Universe

Roboflow Universe contains a large collection of pre-trained machine learning models. They mention that at this moment, they have a collection of more than 7000 pre-trained m…