Mindkosh AI
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  • Getting started
    • Welcome
    • Key terms
    • Recommended browsers
    • Customer Support
  • Management
    • Organization
    • Projects
    • Tasks
    • Batches
    • Exporting annotations
    • Class labels
    • Quality management
      • Permissions
    • Access levels
      • Annotator
      • User
      • Admin
    • Adding data from AWS S3
  • Image/Video Annotation
    • Workspace overview
      • Header
      • Appearance
      • Settings
    • Annotation sections
      • Tools section
      • Labels section
      • Objects list
    • Rotated bounding boxes
    • Auto-annotation (Beta)
    • Image segmentation tool
    • Magic Segment
    • Video Annotation
    • Importing videos
    • OCR Annotation tool
    • Keyboard shortcuts
  • 3D pointcloud annotation
    • Sensor fusion interface
    • Point cloud cuboid annotation
    • Point cloud Segmentation
    • Keyboard shortcuts
    • Point cloud navigation
    • Object tracking
    • Settings
  • Python SDK
    • Uploading data
    • Managing tasks
    • Upload existing annotations
    • Downloading annotations
    • Visualizing annotations
  • Storage and Security
    • Security policy
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  1. Getting started

Welcome

Guide on how to use the Mindkosh annotation platform to quickly label images, videos and Lidar datasets.

NextKey terms

Last updated 2 months ago

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Welcome to a new way of labeling your data!

We are glad you chose Mindkosh to deliver the high quality datasets your Machine Learning projects deserve. With Mindkosh you can easily manage large Data labeling projects and the teams that work on them. All while using a feature-rich Annotation tool built for efficiency and large volumes of data.

You can find information about all aspects of the platform here. If you would like to see the platform in action, or need visual help performing some actions, you can visit our .

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