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.

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New features and enhancements

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.

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Improved UI Navigation

Filter menu organization and iconography have been updated including a unified slice & dice experience and clearer visual cues for advanced logic combinations.

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Optimized Filter Logic

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We’ve refined the right panel to remove outdated filter controls.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

Read more about filters.

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Streamlined Insights

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.

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Class Outlier Detection

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

Learn more about class outliers.

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Better Documentation to Support You

We’ve upgraded our documentation to make it faster, clearer, and easier to navigate.

You’ll notice:

  • Cleaner layouts that help you focus on what matters
  • Collapsible guides and tabs for scanning complex topics
  • Inline tips and examples to guide you through advanced use cases
  • Mobile-friendly design for quick answers on the go

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Fixed issues

We’ve cleaned up some bugs and made improvements to enhance your experience, including improved search results, fixes to filters and other similar issues.