Deep Vision Data
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About
Deep Vision Data specializes in creating synthetic training data for machine learning systems, addressing issues such as data scarcity and privacy concerns associated with traditional datasets. Their synthetic data solutions are designed for both supervised and unsupervised learning, offering zero-cost, 100% accurate automatic data annotation. The platform supports a variety of machine learning applications, including deep neural networks, and is particularly useful when physical data is limited or unavailable. By utilizing proprietary methods of data generation, they can produce multi-class datasets for regression and classification problems swiftly. Their solutions are flexible enough to augment existing physical datasets or serve as standalone sources of training data. Deep Vision Data also leverages domain randomization to ensure better model training outcomes by creating variability in datasets that improves learning effectiveness. Additionally, their capabilities extend to generating realistic product images and hybrid images for training models to recognize items in various contexts.
Platform
Task
Features
• support for supervised and unsupervised learning
• synthetic training data creation
• expertise in multiple industries
• hybrid images of virtual objects
• real-time simulation environments
• rapid creation of product images
• domain randomization for variability
• compatibility with various machine learning models
• zero-cost, 100% accurate data labeling
• multi-class dataset generation
• automatic data annotation
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