Ensuring your training data is labeled with the highest accuracy is the top priority for many ML and CV teams. Over 70% of engineering time is spent on creating and managing training data, rather than developing models. There is no room for low quality training data, yet the business demands you meet release timing commitments.
A live demo of how your team can create custom data workflows to automate and accelerate labeling and AI model development
An introduction to logic and consensus stages - what they are and how they can help you ensure the highest quality of data, faster
Real-life examples of AI-first retail & sports companies, plus food & beverage businesses revolutionizing the space with the use of computer vision
A live Q&A session