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Annotation de donnée avec un IA

AI Annotator - Data Annotation Services for Quebec

At IN-NOVA, we offer data annotation services for artificial intelligence, aimed at companies and organizations that develop or operate AI models. 
 
Our role is to provide annotated data in a structured, consistent manner and in accordance with the defined guidelines, in order to support the training and improvement of intelligent systems.

Data annotation for AI projects

Data annotation is an essential step in developing artificial intelligence solutions. 
 
We work according to your annotation rules, formats and quality requirements.

Supported annotation types

We perform different types of AI annotation services, including:

Image annotation (classification, object detection)

Annotation of videos (tracking objects, events, scenes)

Annotation of textual data (classification, categorization, transcription)

Audio annotation (transcription, markup, voice recognition

Our approach is based on clear annotation procedures, team supervision and regular checks. 
This allows a constant level of quality to be maintained throughout the projects, whether they are occasional volumes or recurring mandates.
We adapt our working methods according to the complexity of the data, the volumes to be processed and the required deadlines.

Dedicated and flexible resources

​​IN-NOVA provides resources for data annotation, able to integrate with your existing processes. We can intervene on short or medium-term projects, according to your operational requirements, while respecting the confidentiality of the information processed.

For which types of projects?

Our data annotation services for AI are aimed in particular at projects related to:

  • artificial intelligence
     

  •  computer vision
     

  •  natural language processing
     

  •  voice and audio recognition
     

  •  the analysis of data

We prioritize a collaboration based on clarity of instructions and communication. 
Our goal is to provide actionable annotated data, in line with your expectations and effectively integrated into your technology projects.

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