Mastering Annotation and Labeling on Redbrick AI: The Ultimate Guide

Table of Contents

1. Introduction
2. Types of Annotations
   1. Annotations and Descriptions
   2. Instructions and Reference Images
3. Creating Object Labels
   1. Choosing the Label
   2. Using Numeric Hotkeys or Clicking on the Plus Sign
4. Segmentation Toolkit
   1. Manual Contour
   2. Comparison with Manual Contour
   3. Leveraging Semi-Automated and Manual Tools
5. Smart Contour Feature
   1. Detecting Contours Automatically
   2. Smoothing Contours
   3. Interpolation and Applying Segmentation Mask
6. Pixel-Level Editing
   1. Touching Up Annotations
   2. Turning On/Off Pixel Interpolation
7. Making Decisions Based on Series Classification
   1. Determining Scan Quality
   2. Choosing Scan Quality Options
8. Series and Study Classification
   1. Attribute Creation for Data Science Team
   2. Study Classification Options

Annotating and Labeling with Redbrick AI: A Comprehensive Guide

Introduction

Are you an annotator on Redbrick AI? If so, you'll be expected to annotate and attribute different types of things. Annotations are a crucial part of the process, and this guide will walk you through the various aspects of annotation in detail.

Types of Annotations

Annotations come in different forms and serve various purposes. When you access the annotation menu on Redbrick, you will see a list of available annotations along with their descriptions and HTML tool tips provided by your admins. These annotations can include instructions, links, and reference images to assist you in the annotation process.

Creating Object Labels

To create an object label on Redbrick AI, you need to choose the desired label from the menu. You can use the numeric hotkeys or click on the plus sign to add the label. Redbrick AI offers a segmentation toolkit for creating object labels. It is recommended to explore this toolkit and watch Tutorial videos to find the best combination of tools for efficient annotation.

Segmentation Toolkit

The segmentation toolkit in Redbrick AI provides both manual and semi-automated tools for annotating objects. Let's start with the manual Contour tool for comparison. By selecting the Contour tool and manually contouring a structure on a specific scan slice, you can create a precise annotation. However, Redbrick AI offers additional features like the Smart Contour, which can automatically detect contours with minimal user input.

Smart Contour Feature

The Smart Contour feature on Redbrick AI utilizes advanced algorithms to automatically detect contours. By holding the control and option/alt keys, the Contour tool will attempt to find the contour on its own. You can then refine and smooth the contour as needed. Moreover, the interpolation feature allows you to apply the contour across multiple slices, saving time and effort.

Pixel-Level Editing

For pixel-perfect annotations, Redbrick AI allows you to perform touch-ups using various tools such as the brush, adaptive brush, or pen tool. You can easily edit annotations at the pixel level, ensuring precise and accurate labeling. Additionally, you have the option to enable or disable pixel interpolation for finer control over the annotation process.

Making Decisions Based on Series Classification

On Redbrick AI, series classification plays a significant role in the annotation workflow. Admins may ask you to determine scan quality or make decisions based on the series you are working on. You can easily assess scan quality by selecting the appropriate option from the menu provided. Your decision will be reflected in the series classification, providing valuable information to the AI or data science team.

Series and Study Classification

In addition to series classification, Redbrick AI offers study classification for more specific attributions. By selecting study classification options, you can assign attributes to the study based on specific findings or characteristics. This further enhances the annotation process and ensures comprehensive data analysis.

Overall, Redbrick AI provides a powerful and user-friendly platform for effective annotation and labeling. By leveraging the various tools and features available, annotators can create highly accurate annotations efficiently in a short amount of time.

Highlights

• Redbrick AI offers a wide range of annotation options and tools for efficient labeling.
• The segmentation toolkit provides both manual and semi-automated tools to ensure precise annotations.
• The Smart Contour feature in Redbrick AI automates contour detection, saving time and effort.
• Pixel-level editing enables precise touch-ups and customization of annotations.
• Series and study classification allow annotators to make important attributions based on specific findings.

FAQ

Q: Can I edit annotations after they have been applied? A: Yes, you can edit annotations by using tools like the brush, adaptive brush, or pen tool to make necessary adjustments.

Q: How can I determine scan quality on Redbrick AI? A: You can assess scan quality by selecting the appropriate option from the menu provided. Choose the option that best reflects the quality of the scan.

Q: Can I create my own labels on Redbrick AI? A: Redbrick AI provides a variety of labels to choose from. If your specific label is not available, you can consult with your admin for further assistance.

Resources:

• Redbrick AI