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V7 Darwin Resources & Documentation Documentation

Find comprehensive guides and support for V7 Darwin. Start quickly with project setup, annotation, dataset management, integrations, and more.

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For agents: V7 Darwin documentation: guides for project setup, image and video annotation, dataset management, model-assisted labeling and radiology labeling for ML trainin

data labelingimage annotationv7 darwinsupervised learningradiology labelingdataset management

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# V7 Darwin Resources & Documentation Documentation

> Find comprehensive guides and support for V7 Darwin. Start quickly with project setup, annotation, dataset management, integrations, and more.

## Guides: Getting Started
- [Project Setup](https://docs.v7labs.com/docs/supervised-learning-project-setup.md)
- [Annotation 101](https://docs.v7labs.com/docs/annotation-101.md)
- [Intro to the Annotation Workview](https://docs.v7labs.com/docs/intro-to-the-annotation-workview.md)
- [Annotate Automatically With Model Tools](https://docs.v7labs.com/docs/annotate-automatically-with-model-tools.md): Before creating a single polygon or bounding box, check out our Model Tool tutorial to save yourself and your team tons of annotation time

## Guides: Annotation
- [Video Labeling Guide](https://docs.v7labs.com/docs/video-labeling-guide.md)
- [Radiology Labeling Guide](https://docs.v7labs.com/docs/guide-to-radiology-labeling-in-v7.md): V7 is a great platform for labeling your healthcare data, including DICOM and NIfTI
- [Channel Labeling Guide](https://docs.v7labs.com/docs/labelling-with-channels.md)
- [Segment Anything Model (SAM)](https://docs.v7labs.com/docs/segment-anything-model-sam-for-images.md): V7's SAM integration allows you to label quicker than ever before
- [Auto-Annotate](https://docs.v7labs.com/docs/auto-annotate.md): Auto-Annotate takes advantage of a deep learning model to automatically segment items and create pixel-perfect polygon masks. It's designed to save you a tonne of time, and in this guide we'll…
- [Auto-Track](https://docs.v7labs.com/docs/auto-track.md): Efficient Video Annotation Tool - Use V7's Auto-Track for Quick Instance Segmentation and Object Tracking in Long Videos.
- [Annotation Tools: Merge, Subtract, Split, Unify](https://docs.v7labs.com/docs/annotation-tools-merge-subtract-split-unify.md): Managing Annotations with Merge, Subtract, Split, and Unify Tools
- [The Brush Tool](https://docs.v7labs.com/docs/the-brush-tool.md)
- [The Comment Tool](https://docs.v7labs.com/docs/the-comment-tool.md)
- [Organise annotations](https://docs.v7labs.com/docs/organise-annotations.md)
  - [Re-order annotations](https://docs.v7labs.com/docs/re-order-annotations.md)
  - [Hide annotations](https://docs.v7labs.com/docs/hide-annotations.md)
  - [Video timeline order](https://docs.v7labs.com/docs/video-timeline-order.md)
  - [Keyboard shortcuts for annotation order](https://docs.v7labs.com/docs/keyboard-shortcuts-for-annotation-order.md)
- [Set up a labelling workforce](https://docs.v7labs.com/docs/set-up-a-labelling-workforce.md): If you need a hand labelling your data, the fastest and most secure way to do so is through V7's labelling service.
- [Use Interpolation in video and DICOM](https://docs.v7labs.com/docs/use-interpolation-in-video-and-dicom.md)
- [Image manipulation](https://docs.v7labs.com/docs/image-manipulation.md)
- [Annotate DICOM & NIfTI files](https://docs.v7labs.com/docs/annotate-dicom-nifti-files.md): V7 supports DICOM and N
…

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