NLP Labeling

Precision Made Easier: Introducing Text Selection in Bounding Box Labeling

Text Selection makes labeling text in documents precise and hassle-free, solving the challenges of traditional bounding boxes.
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Datasaur
November 18, 2024
November 21, 2024
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Labeling text in documents has always been a challenge — especially when you're dealing with complex, dense content. Utilizing bounding boxes, the process often felt like a balancing act: trying to select the right content, only to end up capturing too much or missing key details. That’s where the Text Selection comes in. This feature allows you to directly highlight and label specific words or phrases in documents, ensuring precision in every label. It makes your labeling tasks faster, more intuitive, and more accurate than ever before — giving you full control over every detail in your document, from dates and names to any critical data point.

How It Transforms Your Labeling Tasks

Let’s say you’re working on a project to extract specific data from a batch of documents. Using traditional bounding boxes, you’d often face the frustration of trying to adjust the box to fit neatly around text. The process becomes tedious, especially when you're dealing with tight spaces or closely packed data. But with Text Selection, you can simply highlight the text you need, ensuring you capture exactly what’s required — no extra content, no unnecessary adjustments.

How to Get Started with Text Selection

Getting started with Text Selection is simple. Open your Datasaur Bounding Box Labeling project that contains documents and select the Text Selection cursor. From there, it’s just a matter of clicking and dragging to highlight the text you want to label. The cursor does the work for you, helping you stay focused on the important task.

Ready to dive in? Explore the guide on Text Selection and start labeling with precision today.

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