Gallery & Table views
This article is about how gallery and table views let you customize data display: gallery provide a quick visual overview, while tables offer detailed, sortable comparisons.
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This article is about how gallery and table views let you customize data display: gallery provide a quick visual overview, while tables offer detailed, sortable comparisons.
Last updated
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Supervisely provides multiple data display modes to help you explore and analyze your data more effectively. Depending on the context, you can choose between visual gallery-based views and structured table-based views. These display modes are available both on the project list page and inside individual projects and datasets.
Gallery views are best suited for getting a quick visual overview of your data. Table views offer a structured and sortable layout, which helps when comparing metadata or filtering based on specific attributes.
These features are designed to help teams understand the composition of their datasets, inspect content before labeling, and navigate large projects more efficiently.
The data display modes on the project list page and within a project differ slightly:
On the main project list page (inside a workspace), you can toggle between two display modes. Use the view switcher icon in the upper-right corner of the page to switch between gallery view and table view.
Projects are displayed as visual cards with thumbnails (default), making it easier to recognize them at a glance.
Projects are listed in a tabular format, which allows for sorting by various parameters such as project name, creator, and project size (based on the number of datasets and files inside each project).
Within a specific project — whether on the datasets overview page or inside an individual dataset — you have additional display modes to choose from. These let you control how files and annotations are visualized.
Use the display settings icon located in the upper-right corner of the screen (next to the Add button) to switch between modes:
Datasets are displayed as visual cards with thumbnails (default), making it easier to recognize them at a glance.
Flattens all datasets and sub-datasets into a single, continuous gallery. This is helpful for visually scanning large volumes of data across the entire project.
Displays a nested table that shows the list of datasets and their files at the top level of the project. Useful for reviewing dataset structure and inspecting associated metadata in a structured format.
Displays all data from all datasets — including nested sub-datasets — in a single-level table. Ideal for sorting and comparing files across the entire project, regardless of their position in the dataset hierarchy.
When using any gallery mode, you can adjust the grid size to control how many items are shown per row:
Smaller grid size: More thumbnails per row, helpful for scanning large datasets.
Larger grid size: Bigger previews, better suited for reviewing image or point cloud content in detail.
This allows users to customize the visual density of the gallery depending on their review or labeling context.
Different display modes are tailored for different stages of dataset management — from visual exploration to structured inspection and filtering. By choosing the right view, users can better navigate complex projects, understand dataset composition, and prepare data for annotation workflows.