Face and speaker AI dataset creation
Manually building clean and structured datasets for face or speaker recognition can be tedious, error-prone, and time-consuming. With DeepVA’s Face and Speaker Dataset Creation feature, you can automate the extraction, organization, and preparation of training data — directly from your own media content.
create your own datasets
From media to model: how data is built
The Face Dataset Creation model detects faces in video or image content, tracks them over time, and clusters them into distinct visual identities. It also reads name tags (e.g. lower thirds) to associate names with face clusters automatically. These datasets are then export-ready — pre-cropped, labeled, and formatted for face recognition model training.
In parallel, the Speaker Dataset Creation tool helps you generate custom audio training data for voice-based recognition. It’s particularly useful when the people in your content are not known to existing pre-trained models — for instance, in regional media, internal communications, or historical footage. The tool supports the creation and management of speaker profiles without requiring machine learning expertise.
The benefits of choosing us
Automate the dataset creation process
Extract and organize facial images and audio segments without manual effort — saving up to 85% of typical labeling work.
Train better AI models with better data
Build clean and reliable datasets as a foundation for custom face or speaker recognition solutions tailored to your organization.
Scalable, flexible, and customizable
Use your own media sources, from livestreams to archives, and generate consistent training data at scale.
Full compliance and security
All processing is done within your environment, with no external data sharing. GDPR-compliant by design.
Face and Speaker Dataset Creation module is part of our Deep Collector application. Check it out now:
Key features
DeepVA’s Face and Speaker Dataset Creation combines intelligent automation with practical flexibility. These key features help you extract, organize, and prepare high-quality training data effortlessly — whether you’re working with hours of video or a few interview clips.
Automatic face detection and cropping
Detects and extracts facial regions from video and image content with high accuracy.
Face tracking & clustering
Groups recurring faces across scenes and frames into visual clusters, representing unique identities.
Lower third recognition
Automatically extracts names from visible on-screen labels and links them to face clusters.
Speaker profile creation
Audio data and speaker segments are extracted and assigned for building individual voice datasets.
Export-ready formats
Get face crops, timestamps, bounding boxes, and speaker labels in a structured format — ready for model training or archiving.
Practical Applications
Designed for your workflow
frequently asked questions
Have a question? We’ve got answers
How are face and speaker identities assigned?
Face clusters are built using visual similarity over time, optionally enhanced with lower third name detection. Speaker profiles are built from clear speech segments per individual.
Can the results be reviewed and edited?
How much data is needed?
What format is the dataset delivered in?
Is your service GDPR compliant?
Yes, DeepVA is fully GDPR compliant. We take data protection and privacy seriously and ensure that all personal data is processed in accordance with GDPR regulations.
How is my data handled? Does the AI learn from my data?
You have full control over your data on our AI platform, ensuring it remains secure and compliant. By default, we do not use your data to train our models, keeping it proprietary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organization.
What type of data do you store?
By default, we do not process your data beyond what is required to provide our services. If additional processing is necessary, it will only occur as outlined in your instructions or where legally required. For example, data may be transferred or processed as needed to fulfill service requirements, always in alignment with our agreements.
To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.
