Visualizing your computer vision data is not a luxury, it's a necessity: without it, your models are blind and so do you.

This talk is suitable for computer vision professionals and enthusiasts who want to learn about best practices for visualizing and exploring datasets and how to apply them to their projects. It will provide a valuable foundation for building better machine learning models and producing high-quality results. Data scientists from other domains may also find eye-opening information and ideas.

We will explore examples of data issues in various computer vision datasets and tasks, such as object detection, few-shot learning, and visual question answering. We will then examine tools and strategies for inspecting datasets and the results of models, including FiftyOne, KnowYourData, and Streamlit. By the end of the talk, attendees will have a deeper understanding of the importance of visualizing and exploring computer vision datasets and be equipped with the knowledge and skills to apply these techniques in their own projects