Overview
This service provides a lab-based evaluation for AI classification models, contrasting their results with a gold-standard analysis to assess accuracy and reliability. Focused on applications in food processing, such as beekeeping and pollen counting, this service ensures that AI models meet high standards of precision, which is essential for fields requiring validated data accuracy.
More about the service
How can the service help you?
For developers in food processing industries, this service helps validate AI classification results, ensuring they align with trusted benchmarks. This is particularly valuable for applications like pollen analysis, where high accuracy is critical for reliable outputs and model validation.
How the service will be delivered
The service includes comparative analysis using lab-generated gold-standard data. Outputs include a detailed evaluation report of AI classification accuracy. Clients should provide AI models prepared for testing through downloadable files, APIs, web interfaces, marketplaces, or containerised Docker solutions for seamless sharing and deployment.
Service customisation
Clients can request specific metrics for comparison and may provide specific datasets for the development of AI models or parameters for a more tailored evaluation process.
Sector
Food processing
Test type
Software or AI model
Type of service
AI model training
Performance evaluation
Country of delivery
Country of delivery:
Remote
Service provider(s):
-
University of Cordoba (UCO)
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