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Deep Vision Data specializes in the creation of synthetic training data for supervised and unsupervised training of machine learning systems such as deep neural networks.
Lack of machine learning datasets is often cited as the major development obstacle for deep learning systems, and creating and labeling sufficient data from physical testing and
other non-algorithmic methods such as photography can be extremely time consuming or impossible. The problem is further compounded when the product, object or process being studied is currently under development and no physical images or data exist. Synthetic training data also mitigates privacy concerns associated with the use of medical data and other private information. Learn more about synthetic data at Wikipedia.
Their synthetic training data are created using a variety of proprietary methods, can be multi-class, and developed for both regression and classification problems. Labeling and semantic segmentation are automatic and 100% accurate. Their machine learning datasets are provided using a database and labeling schema designed for your requirements. Contact us to discuss your particular machine learning data needs.
