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Learn more about Sama's work with data curation

Bounding Boxes for Computer Vision: Definition, Use Cases, and Annotation Guide
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Bounding Boxes for Computer Vision: Definition, Use Cases, and Annotation Guide

Bounding boxes are a foundational computer vision annotation method used to locate and label objects in images and video for object detection models. This guide explains what bounding boxes are, how they work, and when alternative approaches like segmentation deliver better accuracy.

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MIN LISTEN

Amdocs Group President Anthony Goonetilleke

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8
MIN READ

Reflections from Web Summit: On Stage and Off

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12
MIN READ

Image Annotation Guide: Types, Techniques & Best Practices for Machine Learning

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