Improvement of FRANI food records and calibration of FRANI portion estimation

This step involves increasing the size of the image database for the AI recognition model as well as fine tuning the AI model to improve food recognition. This includes the food recognition models for Ghana, Malawi, Sri Lanka and Vietnam.

The specific activities include:

• Updating food databases to cater for foods used in school meals in Vietnam.
• Fine tuning AI food models in Vietnam.
• Support the revision of the Standard Operating Procedures (SOPfor calibration of FRANI portion estimation
• Undertake FRANI calibration using repeated model inference using different weight coefficients
• Provide performance benchmarks for food recognition and portion size estimation based on calibration data set
• Update FRANI food records based on calibrated model

Technical support and training on FRANIrelated activities

This step involves supporting the team in Vietnam to undertake the new project activities, as well as present the project at the Global Child Nutrition Forum in Tokyo in December

The specific activities include:

• Remote technical support in updating SOPs and related FRANI procedures and databases for calibration and validation studies
• Inperson training visit and presentation at GCNF in Tokyo

Deliverables:

Calibration SOPs, data set and technical support visit and trip to Japan

Duration: October 15-December 31, 2024

Qualifications, Skills and Experience:

Required qualifications of the survey firm:

• Demonstrated experience in developing semantic segmentation models for FRANI food recognition
• Demonstrated experience in calibrating FRANI assisted food recognition and portion estimation
• Experience in using FRANI assisted diet assessment in school age children
• Experience in working with FRANI for diet assessment and school meal monitoring

Application documents:

Please include the following (in Englisin your application:

• Cover letter
• Technical proposal with a detailed budget