How Data Annotation Quality Impacts on Machine Learning Models
“The review phase of how data annotation quality impacts the accuracy and effectiveness of the machine learning models have successfully completed. The results are exciting and open the scope for future research, and overall, we are happy with the outcomes.”
Mr. Logan Simpson, ML Expert
Problem
The accuracy and effectiveness of the machine learning models depend upon the quality and accuracy of the data provided. The inaccurate data lowered the accuracy and demonstrated poorer performance.
Solution
The accurately trained annotation data was provided with the help of experienced annotators on various domains, which resulted in higher accuracy and better performance.
Results
The relationship between annotation expertise and model performance was evident. It emphasized the importance of skilled annotators in producing high-quality training data.
Bottom Line Impact
30,000
Accurate data labels were provided.
Benefits
Higher accuracy & better performance.
Enabled
Scope for the future research
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