Save time, cuts cost, and boost model performance with the right techniques and expertise.
Example:
Rotations, flips, noise, color changes.
Medical imaging and self-driving cars.
Example:
Synonym replacement, back-translation, paraphrasing.
Chatbots and sentiment analysis.
Example:
Pitch shifting, noise addition, time stretching.
Voice assistants and speech recognition.
Example:
SMOTE, GANs, CTGAN for synthetic records.
Fraud detection and churn prediction.
Example:
Frame skipping, temporal cropping, motion blur.
Surveillance and action recognition.
Boosts accuracy and generalization.
Reduces bias and overfitting.
Expands small datasets at low cost.
GANs and generative AI for synthetic data.
Self-supervised learning and automation.
Smarter, scalable AI training.
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