On Notebooks and the Future of Computer Vision

The article explores the evolution and significance of computational notebooks in scientific research, particularly in computer vision and machine learning (CV/ML), while highlighting the role of the open-source tool FiftyOne. It discusses the limitations of traditional scientific papers in the digital age and how notebooks, pioneered by tools like Mathematica and Jupyter, have transformed data analysis and sharing by integrating code, data, and visualizations. FiftyOne is presented as a solution to the challenges faced in analyzing large visual datasets, offering capabilities for error detection and model evaluation within Jupyter Notebooks. The article underscores the need for open, collaborative tools to advance CV/ML research and improve data quality, advocating for FiftyOne as a means to enable progress and trust in the field by fostering a community-driven approach to problem-solving.