Achieving 10,000x training data reduction with high-fidelity labels
Google reports a labeling method that can reduce required training data by 10,000x while preserving model performance.
Excerpt
Human-Computer Interaction and Visualization
Read at source: https://research.google/blog/achieving-10000x-training-data-reduction-with-high-fidelity-labels/