CVAT <> FiftyOne: Data-Centric Machine Learning with Two Open Source Tools

In the evolving field of machine learning, particularly within computer vision, the emphasis has shifted towards a data-centric approach, recognizing that the quality of training datasets significantly impacts model performance. FiftyOne and CVAT are two prominent open-source tools designed to enhance dataset quality by facilitating the curation, annotation, and improvement of data. FiftyOne offers capabilities for data visualization, model evaluation, and the identification of dataset shortcomings, while CVAT provides a robust platform for creating and managing detailed annotations. The integration of these tools allows for efficient collaboration and iterative refinement of datasets, which is crucial for developing high-performing models. By utilizing these tools, data science teams can engage in a continuous cycle of dataset enhancement, model training, and evaluation to ensure their models remain accurate and effective over time.