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Annotation in Supervisely Blog
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Annotation Posts
![](https://cdn.supervisely.com/blog/definitions-panel/definitions-cover-2.png?width=800)
![Denis Drozdov](https://cdn.supervisely.com/img/denis.ac0a8b8.jpg)
Introducing Definitions Panel: a new way to assign classes and tags
How to reduce the number of steps and clicks to label an object or change its class.
![](https://cdn.supervisely.com/blog/image-matting/cover.jpg?width=800)
![Almaz Gimaev](https://cdn.supervisely.com/img/almaz.a223d90.jpg)
The Complete Guide to Image Matting: Segment using Matte Anything Model and Brush Tool with Transparency
Learn how to annotate images for image matting task in Supervisely using predictions from Matte Anything model.
![](https://cdn.supervisely.com/blog/multi-view-image-annotation/multi-view-poster.jpg?width=800)
![Almaz Gimaev](https://cdn.supervisely.com/img/almaz.a223d90.jpg)
Ultimate Guide On Multi-View Image Annotation For Custom Training Datasets in Computer Vision
Learn how to use Supervisely's Multi-View Image Labeling Toolbox to upload and annotate multi-view images simultaneously.
![](https://cdn.supervisely.com/blog/releasing-new-image-annotation-tool/cover.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
The Ultimate Image Annotation Tool in 2024: The Complete Guide to New Supervisely Labeling Toolbox
Learn how to use new Supervisely Image Annotation Tool designed for fast and accurate image annotation in Computer Vision.
![](https://cdn.supervisely.com/blog/complete-overview-and-comparison-of-manual-segmentation-approaches/cover.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
Manual Image Segmentation in Computer Vision: A Comprehensive Overview of Annotation Techniques
This blog post provides a comprehensive overview of three primary methods of manual image segmentation in Computer Vision: Overlaying, Snap to Object Boundaries and Split Mask.
![](https://cdn.supervisely.com/blog/using-pen-to-parts-of-objects/cover.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
How To Segment Entire Object And Its Component Parts With Mask Splitting Method
Complete tutorial on labeling multiple parts of the object using efficient splitting annotation technique in Computer Vision
![](https://cdn.supervisely.com/blog/mark-attributed-segments-on-multi-camera-videos/cover.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
How To Tag Multi-Camera Video Segments For Action Recognition In Computer Vision | Full Tutorial
Guide on video annotation, tagging and management tool tailored for multi-camera videos in Supervisely
![](https://cdn.supervisely.com/blog/mastering-image-tagging/cover.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
Image and object tags for classification in Computer Vision: Complete Guide
Tutorial on how to use tags and attribute of different types in various industries with real examples.
![](https://cdn.supervisely.com/blog/smarttool-annotation/cover.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
How To Use Model Assisted Labeling To Boost Annotation Performance With Supervisely
A Deep Dive into the Beloved Supervisely Smart Labeling Tools for AI-Assisted Interactive Object Segmentation
![](https://cdn.supervisely.com/blog/brush/brushposter5.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
Brush Annotation Tool: your must-have for Object Segmentation
Learn how to annotate objects of any complexity by creating freeform outlines using the Brush annotation tool.
![](https://cdn.supervisely.com/blog/mask-pen-tool/cover.png?width=800)
![Lisa Uspenyeva](https://cdn.supervisely.com/img/lisa.94c0052.jpg)
Mask Pen Annotation Tool for Object Segmentation in Supervisely
Learn how to use Mask Pen annotation tool as a combination of polygonal contours and free-form drawing contours.
![](https://cdn.supervisely.com/img/hero-menu.180590c.png)
![](https://cdn.supervisely.com/img/about-platform-issues.03b7ff9.png)
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