Data Augmentation
Expand your training dataset with our data augmentation services. By generating new data through transformations like rotation, flipping, and scaling, we help you create more robust and diverse training data to improve your model’s performance.
Types of Data Augmentation:
- Image augmentation (rotation, scaling, cropping, flipping)
- Text augmentation (paraphrasing, back-translation, token masking)
- Audio augmentation (pitch shifting, time-stretching, noise addition)
- Video augmentation (frame sampling, flipping, and cropping)
Technologies Used:
- Custom data augmentation algorithms
- High-speed AI-powered tools for large datasets
- Skilled human annotators for precise augmentation
Applications:
- Image classification and object detection
- Natural language processing
- Speech recognition
- Video analytics
Customer Benefits:
- Increased Data Diversity: Augment your data for a wider range of training scenarios.
- Improved Model Robustness: Enhance the generalization of your models by exposing them to more diverse data.
- Cost Efficiency: Save money by expanding your datasets without needing to gather new raw data.
Customer Feedback:
“The data augmentation services provided have made a huge difference in the accuracy of our NLP models. We saw a noticeable improvement in our model’s ability to handle edge cases.” — A valued customer.