> For the complete documentation index, see [llms.txt](https://docs.imerit.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.imerit.net/3d-multi-sensor-fusion/labeling/3d-multi-sensor-fusion-labeling-editor/key-features/combined-tools-cuboid-3d-polygons-3d-polylines-+-2d-drawables.md). # Combined Tools (Cuboid, 3D Polygons, 3D Polylines + 2D Drawables) Cuboid + Polygon + Brush - combined in a single annotation workflow to segment point clouds ## Overview The Multi-Modal Segmentation Tool is a new point cloud annotation capability that integrates three distinct segmentation methods - cuboid, polygon, and brush - into a single, unified workflow. Annotators can now apply the optimal tool for each geometric region of an object without switching contexts, losing progress, or accepting accuracy trade-offs. Real-world objects are geometrically diverse. A vehicle has a rectangular body, an irregular roof rack, and ground-contact surfaces that each demand a different annotation approach. Until now, annotators were forced to pick one tool and compromise everywhere else - or spend excessive time applying the wrong method to each part. *** ## Integrated Tool Switching Annotators can now transition between cuboid, polygon, and brush modes within a single annotation session on the same point cloud object. No work is lost when switching modes, and all segments contribute to a unified output. ### Simultaneous Multi-Tool Operation All three tools operate on the same point cloud simultaneously. Segments created by different tools are merged into a single, coherent annotated object, preserving geometric accuracy across every region. ### Contextual Tool Optimization Each tool is designed for the annotation challenge it handles best. Cuboids provide fast, precise coverage of rectangular geometry. Polygons handle irregular outlines with accurate trace-based boundaries. Brush delivers pixel-level refinement for terrain contact and complex surface edges. ## Tool Reference
ToolBest ForUse in Multi-Modal
CuboidRectangular bodies, geometric shapesVehicle chassis, building facades
PolygonIrregular outlines, complex contoursRoof racks, cargo attachments
Brush SphereFine-detail refinement, terrain edgesGround contact points, irregular surfaces
## Example Workflow The following illustrates how the three tools work together when annotating a construction vehicle: **Step 1 - Brush:** **+ icon (class level):** creates a new annotation instance. Tooltip: *"Add annotation"*. Always visible on the class row. * **Pencil icon (annotation level):** edits an existing annotation. Tooltip: *"Edit with"*. * Clicking the pencil icon beside an annotation opens a palette labelled "Edit with" listing all drawables configured for that class. * Selecting a drawable enters add/remove-point editing mode for the existing annotation using the chosen tool. * If exactly one drawable is configured, the pencil icon activates it immediately without showing a palette. * The edit palette is sourced from the same project-setup configuration as the create palette. No hardcoded tool lists exist in either. **Step 2 - Polygon:** **+ icon (class level):** creates a new annotation instance. Tooltip: *"Add annotation"*. Always visible on the class row. * **Pencil icon (annotation level):** edits an existing annotation. Tooltip: *"Edit with"*. * Clicking the pencil icon beside an annotation opens a palette labelled "Edit with" listing all drawables configured for that class. * Selecting a drawable enters add/remove-point editing mode for the existing annotation using the chosen tool. * If exactly one drawable is configured, the pencil icon activates it immediately without showing a palette. * The edit palette is sourced from the same project-setup configuration as the create palette. No hardcoded tool lists exist in either. **Step 3 - Cuboid:** Draw a cuboid around the vehicle's main rectangular body. Fast, precise, and ideal for geometric shapes. * Leverage all cuboid features to get fast and accurate segmentation. Features that help reduce the time per object and enhance accuracy: interpolation, film reel, autogrounding, static dimension etc. * No interchanging paintbrush, polygon with cuboid. You can use paintbrush and/or polygon to further refine the accuracy of the points inside the cuboid. The result is a fully segmented point cloud built with the optimal tool for each geometric challenge - completed in one continuous workflow, with no context switching. {% embed url="" %} *** ## Configured Drawables ### Smarter Annotation Palette * The drawable palette - the menu annotators use to choose their labeling tool - shows only the tools configured for the class being annotated. * When a class has only one tool configured, the palette is skipped entirely. The tool activates immediately and a brief confirmation strip tells the annotator which tool is active. ### Edit With Any Configured Tool * Annotators can edit an existing annotation using any drawable configured for that class - not just the tool that originally created it. This means an annotation created with Polygon can be refined using Brush sphere, and vice versa, without needing to re-annotate from scratch. * The edit and create palettes are sourced from the same project configuration, ensuring consistency. ### Visually distinct create and edit actions * The class list panel uses distinct icons to differentiate creating a new annotation from editing an existing one. The + icon creates. The pencil icon edits. *** ## Availability & Compatibility **Availability:** This feature is generally available in the current platform release. **Supported formats:** All standard point cloud formats currently supported by the annotation platform (pcd and las). **Existing projects:** Fully compatible with existing annotation projects. No migration required. **Access:** Available to all annotator roles. No additional permissions or feature flags required. *** ## Why It Matters As autonomous systems encounter increasingly diverse real-world objects - construction equipment, unusual vehicle configurations, complex urban structures - training data must capture geometric complexity accurately. Single-tool annotation workflows cannot keep pace with this diversity. Multi-Modal Segmentation addresses this directly: * Accuracy improves because each region is annotated with its geometrically appropriate method. * Speed increases because annotators are no longer spending excessive time forcing the wrong tool onto a task. * Workflow continuity is preserved - no saving, switching, or re-importing required between tool modes. * Training data quality scales with object complexity, rather than being bottlenecked by it. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.imerit.net/3d-multi-sensor-fusion/labeling/3d-multi-sensor-fusion-labeling-editor/key-features/combined-tools-cuboid-3d-polygons-3d-polylines-+-2d-drawables.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.