Use Case Superstructure
Railway Superstructure
ex-nihilo transforms the training data gathering and testing process. Create and configure training data and detection models for your fault detection application from a single pipeline. Ghegapixel and Ghegalearn are solutions by ex-nihilo for building robust data-sets as well as detection models.
training data set creation
Ghegapixel
Ghegapixel ist designed to minimize time for data-set creation. No more data labelling and converting to different annotation formats. No more time wasted distributing datasets to only to discover that a certain error is not propperly detected.
Cloud | on premise
Well defined Interfaces using industry standards
detection modell
Ghegalearn
Ghegalearn’s output is a detection model that depends on your use case. The innovative way we use our training data pipeline is the key to the high detection and low false positive rates. Depending on your specific requirements, we create and adapt the training data we use until we have the most robust detection model.
Innovative way of learning
Well defined Interfaces using industry standards
