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Latest

Computer Vision

Trend Analysis of Labeling Errors: Improving Over Time

Understanding how labeling errors change over time can reveal a lot about a machine learning pipeline's strengths and weaknesses. Analyzing the trends of these errors helps teams track whether their labeling methods are improving, staying consistent, or deteriorating as the dataset grows. It can also reveal patterns related
Tatiana Verbitskaya May 21, 2025
Machine Learning

Product Recognition in Retail

Michael Abramov May 19, 2025
Machine Learning

Labeling Data for Industrial Robotics: Enhancing Automation Accuracy

Paul Pokotylo May 18, 2025
Machine Learning

Warehouse and Logistics: Annotating Data for Efficient Inventory Management

Tatiana Verbitskaya May 14, 2025
Computer Vision

Manufacturing Defect Detection: Annotation Techniques for Quality Control

Michael Abramov May 12, 2025
Computer Vision

Zero- and Few-Shot Labeling: The Future of Data Annotation

Paul Pokotylo May 9, 2025
Computer Vision

Prepping Data for Self-Supervised Learning: Labeling Less, Learning More

Tatiana Verbitskaya May 7, 2025
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