Version 2.36 includes:We are excited to present the latest release of Visual Layer. This update introduces powerful new ways to search, explore, and manage visual datasets — while streamlining the UI for speed and clarity. Let’s dive in.
We’ve overhauled the filtering experience for intuitive navigation, custom quality thresholds, and advanced query logic — making it easier to zoom in on what matters or explore freely at scale.
Filter menu organization and iconography have been updated including a unified slice & dice experience and clearer visual cues for advanced logic combinations.
Visual Layer now provides logical query operators.We’ve refined the right panel to remove outdated filter controls. Now, you can build filters and review or edit. All applied filters are currently combined using AND logic. Slice and dice your dataset more precisely seamlessly combine visual and metadata filters for high-volume review.Set flexible conditions per filter type, including:
IS, and IS ONE OF
IS NOT: Explicitly exclude values — easily remove irrelevant items from your analysis
CONTAINS and free-text search that dynamically adapts to your dataset and the current view context
All your dataset insights are now accessible in one place — the redesigned right panel.
Easily navigate between statistics, enrichment models, and quality issues without visual clutter.
You can also toggle between # (absolute values) and % (relative values) to view data in the format that matters most to you.
Class outliers are a new issue type that help you detect subtle, high-impact inconsistencies in labeled datasets.Unlike mislabels and general outliers, class outliers highlight images that don’t fit the expected structure or semantics of a specific dataset. Class outliers often reflect edge cases, data drift, or content mismatches that can compromise model performance if left unreviewed.You can now:
View class outlier stats in the right panel
Adjust detection thresholds for both general and class-level outliers WIP
Filter by outliers or class outliers directly from the main filter menu
We’ve cleaned up some bugs and made improvements to enhance your experience, including improved search results, fixes to filters and other similar issues.
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