Data Labeling

Improved accuracy is the main goal of most Question Answering (QA) efforts. The goal has been to make the response supplied text as accessible as possible for a very long time. The integrity of the information...
What is Image Annotation? After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Since the picture annotation defines the standards the model attempts to meet, any label mistakes...

Data Labeling and AI Revolution (2023)

What is Data labeling? Data labeling is employed for machine learning algorithms to identify and comprehend objects properly. Face recognition, autonomous driving, aerial drones, robotics,...

Cleanlab Open-Sources ActiveLab: A Novel Active Learning Method For Data Labeling To Improve Machine Learning Models

Labeled data is essential for training supervised machine learning models, but mistakes made by data annotators can impact the model's accuracy. It is common...

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