Data augmentation
Summary
Our service enhances image or sensor data through pre-processing techniques like normalization, dimension reduction, anonymization, and precise labeling for improved model performance and data privacy.
S00172
Version: 1.11
- arable farming
- horticulture
- tree crops
- viticulture
- livestock farming
- data augmentation
- data
- Location: remote
- Offered by: JR
Description
In preparing image or sensor data, pre-processing is crucial. We apply techniques like normalization for data uniformity and correlation analysis to uncover patterns, enhancing interpretability. Dimension reduction optimizes computational efficiency, while adding randomized noise and artificial expansion improves model generalization. We implement anonymization to protect data privacy and ensure precise data labeling for supervised learning. These methods, tailored to your needs, enhance your data's quality and usability.