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What data sources were used to develop and train the AI system?

The AI system was trained using a combination of proprietary data, public datasets, open-source models, and partner-provided resources.

The development and training of the AI system relied on the following data sources:

  • Proprietary datasets:
    Custom datasets manually annotated by Aiconix, tailored for specific use cases.

  • Public datasets:
    Includes freely available material such as images and texts from Wikimedia Commons and other open data and research repositories.

  • Pretrained open-source models and weights:
    Models trained on publicly available research datasets and reused within the system.

  • Partner-provided models and data:
    Proprietary data sources and pretrained models shared by partner organizations, not available to the public.