Deep Collector 

Let the AI easily collect your training data

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

The fastest way to build your own datasets

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

Your training data is one click away

save costs with deepva

Save time and cut costs

Deep Collector reduces the manual effort of your data acqui­sition and prepa­ration time by up to 98%.

No AI Expert needed

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.

no vendor lock-in

No Vendor Lock-In

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

A powerful AI that fully covers your use case

Can’t find your use case? Let’s discuss it!

Deep Collector 

A growing inventory of AI-services

Face and speaker dataset creation

Automat­i­cally generate entire datasets using facial images, text infor­mation (e.g., from lower thirds), and audio elimi­nating the need for manual labor.

AI model evalu­ation

Analyze entire datasets and receive feedback on your training data quality to enhance face & landmark recog­nition accuracy.

Integration & deployment

Integrate DeepVA into your appli­ca­tions in a snap

Deep Collector integration lets you take advantage of AI-powered computer vision, machine learning, and low-code automation

DeepVA-powered solutions

Success stories

Real world examples: How companies use Deep Collector

Vidispine

With the help of DeepVA, the user can intuitively and easily create and manage training data directly in the media asset management system (MAM).

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Bayerischer Rundfunk

Creating and managing training data for face recog­nition using AI requires a lot of time and resources.

Read More

We want you to be more successful than now!

Fabian Linder

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