Dataset Analytics

Dataset Analytics provides a comprehensive overview of various statistics related to a project's dataset, including the number of images, annotations, and image dimensions, as well as insights into missing or null annotations and the distribution of object counts. By analyzing these metrics, users can identify areas for improvement, such as adding missing annotations or ensuring a diverse representation of object locations to prevent model overfitting. The platform features tools like a heatmap and histogram to visualize annotation density and object distribution, respectively, which can be used to ensure datasets are representative of real-world conditions. Additionally, users are encouraged to apply Resize augmentation for consistency across project versions while retaining the original raw image metrics for analysis.

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