Labelvisor

Data annotation & labeling blog.

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Data Annotation

Designing Microtasks: Breaking Down Annotation Jobs for Faster Completion

Breaking down complex tasks into smaller ones, known as microtasking, can improve efficiency and accuracy in creating AI training data. We'll cover strategies for optimizing workflows, applying cognitive personalization, and implementing quality control mechanisms. We'll also discuss methods for optimizing the user interface for worker productivity.

Data Annotation

Clustering for Pseudo-Labels: Grouping Data Before Manual Annotation

Data Labeling

Embedding-Based Annotation: Leveraging Vector Spaces for Automatic Labeling

Computer Vision

Gamifying Annotation: Increasing Labeler Engagement and Accuracy

Data Annotation

Evidence Linking Annotation: Connecting Sources to Claims

Computer Vision

Selective Subset Labeling: Building Targeted Benchmarks Within Large Corpora

Machine Learning

Adaptive Prompting: Dynamic Instructions Based on Model Feedback

Data annotation

Data Annotation

Designing Microtasks: Breaking Down Annotation Jobs for Faster Completion

Breaking down complex tasks into smaller ones, known as microtasking, can improve efficiency and accuracy in creating AI training data. We'll cover strategies for optimizing workflows, applying cognitive personalization, and implementing quality control mechanisms. We'll also discuss methods for optimizing the user interface for worker productivity.

Data Annotation

Clustering for Pseudo-Labels: Grouping Data Before Manual Annotation

Data Labeling

Embedding-Based Annotation: Leveraging Vector Spaces for Automatic Labeling

Computer Vision

Gamifying Annotation: Increasing Labeler Engagement and Accuracy

Data Annotation

Evidence Linking Annotation: Connecting Sources to Claims

Computer Vision

Selective Subset Labeling: Building Targeted Benchmarks Within Large Corpora

Machine Learning

Adaptive Prompting: Dynamic Instructions Based on Model Feedback

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