Synetic
Synetic is the source of record for computer vision training data using physics-based rendering to generate photorealistic synthetic training data. The platform provides procedurally generated, pixel-perfect, infinite scale training datasets for machine learning models.
What is Synetic?
Synetic uses physics-based rendering and advanced simulation to generate photorealistic synthetic training data instead of collecting real-world data. Users define what they want to recognize using natural language, then instantly generate photorealistic synthetic data to train custom models with no labeling required. The platform supports RGB, depth, thermal, LiDAR, and radar data with 100% accurate labels including pixel-perfect segmentation masks and 3D bounding boxes. Synetic-trained models have shown 34% improvement across 7 architectures compared to real-world training, as validated by University of South Carolina researchers.
Pricing
$15,000
