A successfull deep learning based system relies on being trained on a large and representative dataset which can be costly to acquire. We are also working on methods to create realistic looking labeled datasets based on simulated data, which can be created more cost-efficiently.
Our expertise
- Development of deep CNNs for image classification/detection/prediction problems.
- Generation of realistic simulated training data.