SDG — Synthetic Data Generation
AI Technology
SDG
SDG (Synthetic Data Generation) trains robust object detection models with synthetic image datasets, fine-tuning machine learning to improve speed and accuracy. It removes the need for expensive and time-consuming manual image labelling.
Key Features
Synthetic Dataset Generation
Generate large volumes of labelled synthetic images at a fraction of the cost and time of manual data collection and annotation.
Object Detection Model Training
Train and fine-tune object detection models on synthetic datasets that closely mirror real-world conditions and edge cases.
Reduced Manual Labelling
Eliminate the bottleneck of manual image annotation, letting your ML teams focus on model architecture and evaluation instead.
Improved Model Accuracy
Diverse synthetic data improves generalization, leading to models that perform reliably across varied real-world deployment environments.