Webinar

What I Learned Labeling 1 Million Images

On demand 45 minutes

At CrowdFlower, we’ve created the framework for generating and labeling training data for computer vision projects for classifiers of all types. With over 1M images labeled, we’ve learned a lot about what it takes to make a machine vision algorithm successful and robust, and what a computer vision team needs to be successful. You may be training a self-driving car, detecting animals with drones, or trying to automate a pathologist, but the steps to a well-trained classifier remain the same.

Our Presenter

Andrea is a map nerd (and classically trained cartographer) turned image annotation and training data expert. In her current role at CrowdFlower she helps data scientists, roboticists, engineers, and other data geeks train algorithms to bring the future closer.