# PixlHub Documentation ## Docs - [Introduction](https://docs.pixldata.com/api-reference/introduction.md): Soon. - [Audio Annotation Module](https://docs.pixldata.com/guides/annotation-modules/audio-annotation-tool.md) - [Image Annotation Module](https://docs.pixldata.com/guides/annotation-modules/image-annotation-tool.md) - [RLHF Module](https://docs.pixldata.com/guides/annotation-modules/rlhf-tool.md) - [Video Annotation Module](https://docs.pixldata.com/guides/annotation-modules/video-annotation-tool.md) - [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. - [Bounding Box](https://docs.pixldata.com/guides/basics/bounding-box.md): The Bounding Box is the fundamental tool for object detection and localization. In PixlHub, the Bounding Box is not a static tool; it can be adapted into three distinct variations depending on the project's requirements. - [Canvas Settings](https://docs.pixldata.com/guides/basics/canvas-settings.md) - [Class Definitions](https://docs.pixldata.com/guides/basics/class-definitions.md) - [Comment](https://docs.pixldata.com/guides/basics/comment.md): The Comment Tool is the primary communication layer within PixlHub. It is used to flag edge cases, discuss problematic assets, or provide specific feedback during the labeling and review process. - [Freeform](https://docs.pixldata.com/guides/basics/freeform.md): The Freeform Tool provides a high-speed alternative to the standard Polygon Tool, allowing users to trace complex shapes with a continuous fluid motion rather than manual vertex placement. - [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. - [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. - [Interactive Toolbar](https://docs.pixldata.com/guides/basics/interactive-toolbar.md) - [Line](https://docs.pixldata.com/guides/basics/line.md): The Line Tool is designed for annotating linear structures and boundaries that do not require closed shapes. It is an essential tool for projects involving lane detection, wire tracking, or skeletal mapping. - [Object Instances](https://docs.pixldata.com/guides/basics/object-instances.md) - [Point](https://docs.pixldata.com/guides/basics/point.md): The Point Tool is used to mark specific coordinates or landmarks on the canvas. It is an essential tool for tasks requiring high spatial precision, such as keypoint detection, facial landmarking, or pose estimation. - [Polygon](https://docs.pixldata.com/guides/basics/polygon.md): The Polygon Tool is used for high-precision instance and semantic segmentation. It allows for the annotation of complex or irregular shapes that cannot be accurately captured by standard bounding boxes. - [Right Drawer](https://docs.pixldata.com/guides/basics/right-drawer.md) - [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. - [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… - [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. - [Assets](https://docs.pixldata.com/guides/essentials/assets.md) - [Exports](https://docs.pixldata.com/guides/essentials/exports.md) - [Imports](https://docs.pixldata.com/guides/essentials/imports.md) - [Label Schema](https://docs.pixldata.com/guides/essentials/label-schema.md) - [Tasks](https://docs.pixldata.com/guides/essentials/tasks.md) - [Teams & Roles](https://docs.pixldata.com/guides/essentials/teams-and-roles.md) - [Introduction to PixlHub](https://docs.pixldata.com/index.md): PixlHub is a high-performance data annotation platform designed to transform raw data into structured, production-ready training sets for AI models. It serves as a unified workspace that bridges the gap between massive datasets and high-precision ground truth. - [Quickstart Guide](https://docs.pixldata.com/quickstart.md): This guide provides the essential steps to launch a first labeling project on PixlHub. The process is designed to take less than five minutes from setup to the first annotation. ## OpenAPI Specs - [openapi](https://docs.pixldata.com/api-reference/openapi.json)