# PixlHub Documentation

- [PixlHub Documentation](https://docs.pixldata.com/index.md): Learn PixlHub, the data labeling platform: guided quickstart, annotation tools, review workflows, AI-assisted labeling and team management.
- [Quickstart](https://docs.pixldata.com/quickstart.md): Create your first labeling project in PixlHub, upload images, define a label schema, and submit your first annotated task in about five minutes.
- [Core Concepts](https://docs.pixldata.com/core-concepts.md): The PixlHub mental model in five minutes: workspaces, projects, assets and tasks, label schemas, annotations, workflow and review, and how they fit together.
- [Workspaces](https://docs.pixldata.com/guides/basics/workspaces.md): Workspaces (Organizations) are the highest level of the PixlHub hierarchy. They serve as independent environments where teams, data, and projects are managed collectively.
- [Creating a Project](https://docs.pixldata.com/guides/projects/creating-a-project.md): Create a labeling project in PixlHub: pick the right tool type, understand what gets provisioned, and set yourself up before the first asset is uploaded.
- [Project Workflow](https://docs.pixldata.com/guides/projects/workflow.md): How tasks move through a PixlHub project: the default Label, Review, Done pipeline, live task counts on each step, and the visual workflow editor with its node palette.
- [Assets](https://docs.pixldata.com/guides/essentials/assets.md): Upload and manage data in PixlHub: supported formats, upload limits, batches for grouping, grid and list views, and how every asset becomes a task.
- [Tasks](https://docs.pixldata.com/guides/essentials/tasks.md): Manage the labeling queue in PixlHub: queue statistics, the task table with filters and custom columns, bulk status changes, splits, and per-task history.
- [Label Schema](https://docs.pixldata.com/guides/essentials/label-schema.md): Define classes, colors, hotkeys and attributes in PixlHub: the schema editor, per-label attributes, global attributes, and how schema changes affect existing annotations.
- [Imports](https://docs.pixldata.com/guides/essentials/imports.md)
- [Exports](https://docs.pixldata.com/guides/essentials/exports.md)
- [Image Annotation Editor](https://docs.pixldata.com/guides/annotation-modules/image-annotation-tool.md): How to use the PixlHub image annotation editor: layout, tools, class hotkeys, saving and submitting, and the panels that keep large tasks organized.
- [Canvas Toolbar & Shortcuts](https://docs.pixldata.com/guides/basics/interactive-toolbar.md): The annotation canvas toolbar in PixlHub: zoom and fit controls, undo and redo, tool variants, and the keyboard shortcuts that keep hands off the mouse.
- [Class Definitions Panel](https://docs.pixldata.com/guides/basics/class-definitions.md): The class panel in the PixlHub editor: arming classes by click or hotkey, reading live per-class counts, and the visibility controls that keep dense scenes workable.
- [Object Instances Panel](https://docs.pixldata.com/guides/basics/object-instances.md): Every annotation in the task as a managed list: selection sync with the canvas, per-object visibility and locking, grouping by label, and instance IDs for unambiguous discussion.
- [Right Drawer](https://docs.pixldata.com/guides/basics/right-drawer.md): The context rail of the PixlHub editor: Comments, Guidelines, Dataset navigation, task Info and History, Agent assistance and Canvas Settings, one click from the canvas.
- [Canvas Settings](https://docs.pixldata.com/guides/basics/canvas-settings.md): Tune how annotations render in the PixlHub editor: label visibility, crosshair, opacity, border weight and handle sizes, saved per project.
- [Global Controls](https://docs.pixldata.com/guides/basics/global-controls.md): The top navigation bar provides quick access to workspace management, notifications, and personal preferences. These controls are persistent across all pages, ensuring seamless transitions between tasks.
- [Smart Tool Palette](https://docs.pixldata.com/guides/basics/smart-annotation-palette/smart-tool-palette.md): The Smart Annotation Palette is the central interface for all drawing and interaction tasks on the canvas. Unlike traditional labeling environments that restrict a project to a single tool type, this palette provides a versatile toolkit that supports multiple geometry types within the same workspace…
- [Bounding Box Tool](https://docs.pixldata.com/guides/basics/bounding-box.md): Draw, edit and manage bounding box annotations in PixlHub, including the standard, rotating and PDF/OCR box variants and the shortcuts that speed them up.
- [Polygon Tool](https://docs.pixldata.com/guides/basics/polygon.md): Draw precise polygon annotations in PixlHub: point-by-point outlines, vertex editing, and the workflow that keeps segmentation-grade labeling fast.
- [Line Tool](https://docs.pixldata.com/guides/basics/line.md): Annotate lanes, edges, shelf rails, cables and other linear structures in PixlHub with multi-point polylines, finished with a single Enter keystroke.
- [Point Tool](https://docs.pixldata.com/guides/basics/point.md): Mark exact locations with point annotations in PixlHub: keypoints, landmarks, price tags, defects, or anything your model should find at a single coordinate.
- [Freeform Tool](https://docs.pixldata.com/guides/basics/freeform.md): Trace organic, irregular shapes in PixlHub with continuous freehand drawing: one press-drag-release instead of dozens of clicked vertices.
- [Cuboid Tool](https://docs.pixldata.com/guides/basics/cuboid.md): Draw pseudo-3D cuboid annotations on 2D images in PixlHub: two clicks for the front face, one for depth, Enter to finish.
- [OCR Tool](https://docs.pixldata.com/guides/basics/smart-annotation-palette/ocr-tool.md): The OCR (Optical Character Recognition) Tool is a specialized extension of the Bounding Box, designed to detect and digitize text directly from images. By integrating character recognition into the standard annotation flow, PixlHub eliminates the need for manual transcription.
- [AI Assisted Annotations](https://docs.pixldata.com/guides/basics/ai-assisted-annotation.md): PixlHub integrates advanced machine learning models directly into the annotation workflow to accelerate the labeling process. These tools allow for complex annotations to be generated with minimal human input while maintaining high precision.
- [Reviewing Tasks](https://docs.pixldata.com/guides/quality/review-workflow.md): The reviewer's guide to PixlHub: entering review mode, inspecting annotations, accepting or rejecting with one click, and giving feedback that actually reaches the labeler.
- [Performance Analytics](https://docs.pixldata.com/guides/quality/performance-analytics.md): Read a project's health in PixlHub's Performance tab: throughput trends, first-pass quality rate, rework, skip and reviewer edit rates, with date filtering and export.
- [Models](https://docs.pixldata.com/guides/ai/models.md): Connect your own ML models to PixlHub for automated pre-labeling: register an inference endpoint, map its outputs, and track every execution in Run History.
- [Agents](https://docs.pixldata.com/guides/ai/agents.md): Configure LLM agents in PixlHub for text annotation, NER, captioning and workflow automation, with OpenAI, Anthropic, Google, Grok or fully local Ollama providers.
- [Plugins](https://docs.pixldata.com/guides/ai/plugins.md): Extend PixlHub with plugins: data source, transform, export and integration extensions like the Web Scraper, Translator and n8n Connector, activated per workspace.
- [Text Annotation Module](https://docs.pixldata.com/guides/annotation-modules/text-annotation-tool.md): Label text in PixlHub: entity spans by highlighting, class hotkeys, the entities panel with character offsets, and flexible TXT, CSV and spreadsheet imports.
- [Teams and Roles](https://docs.pixldata.com/guides/essentials/teams-and-roles.md): Organize people in PixlHub: workspaces and organizations, inviting members as Admin or Member, and how project-level roles gate labeling, review and management.
- [Comments](https://docs.pixldata.com/guides/basics/comment.md): Discuss annotation questions exactly where they occur: pin threaded comments to image locations in PixlHub, mention teammates, and resolve them when settled.
- [Guidelines](https://docs.pixldata.com/guides/basics/guidelines.md): Guidelines ensure that every annotator follows the same rules, maintaining consistency and quality across the entire project. PixlHub allows managers to provide these instructions directly within the project settings and the labeling interface.
- [Introduction](https://docs.pixldata.com/api-reference/introduction.md): Soon.


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