Data Annotation has never been simpler: Label Genie Introduction

Name: Data Annotation has never been simpler: Label Genie Introduction
Uploaded: 2023-03-16
Duration: 5 min
Description: An introduction to Label Genie for annotating text, image, and audio data: import a dataset, build a task, label by hand, then use zero-shot labeling.

Generative AI

Overview

This walkthrough introduces Label Genie, an app for creating and managing data annotation tasks across text, image, and audio datasets. The presenter demonstrates importing a dataset, building an annotation task, and labeling examples by hand, then shows Label Genie's zero-shot labeling feature pre-populating suggestions for traffic light and sign detection, Amazon product review ratings, and road condition classification. It also covers reviewing annotation progress and supporting a second layer of approval when a team works through the same task. Label Genie is described as available in early access on the App Store.

Key takeaways

How to import a dataset and create a new annotation task in Label Genie, including adding custom labels
How manual annotation works, such as highlighting text spans to tag subjects in a transcript example
How zero-shot labeling pre-populates suggestions (for example, identifying traffic lights and signs) so you only need to remove false positives instead of labeling from scratch
How Label Genie handles classification tasks across data types, including audio, text, and image, with example probability-based suggestions for product review ratings and road condition quality
How to track annotation progress and stats, and how a second reviewer can approve annotations for team workflows

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