Deep Collector
Automatically build a speaker dataset
How can I build up a dataset for my speaker recognition?
Deep Collector
The fastest way to collect your training datasets is completely automated and with all the tools you need. Build better data and drastically reduce data acquisition costs.
Trusted by professionals
The product
Completely skip the manual effort of building training data. Deep Collector provides best-in-class AI algorithms to automatically collect, prepare and label datasets for your face recognition and speaker identification through a perfectly integrable, scalable, and secure solution.
Benefits
Deep Collector reduces the manual effort of your data acquisition and preparation time by up to 98%.
Deep Collector is packed with automation tools to validate, prepare, and store your training data. It’s the easiest way to start building your own AI.
Deep Collector stores the collected training data in a way that you can easily export it and use it in any other workflow without vendor lock-in.
Use cases
How can I build up a dataset for my speaker recognition?
How can I automatically build training datasets from my media footage?
Deep Collector
Integration & deployment
Deep Collector integration lets you take advantage of AI-powered computer vision, machine learning, and low-code automation
DeepVA-powered solutions
Success stories
With the help of DeepVA, the user can intuitively and easily create and manage training data directly in the media asset management system (MAM).
Read More
Creating and managing training data for face recognition using AI requires a lot of time and resources.
Read MoreWe want you to be more successful than now!
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Designed and engineered in Germany.
aiconix GmbH
Stollwerckstraße 17-19
51149 Köln
Germany
The project has indirectly received funding from the European Commission’s Horizon 2020 Framework Programme through the STADIEM project (Grant Agreement 957321)
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