Region-Guided Food-Package Evidence Extraction and Abstention-Aware Draft R3337 Screening with Selective VLM Review

Key points

• This study presents a region-guided evidence extraction and abstention-aware screening workflow for draft R3337.1
• A three-class detector localises nutrition information panels, ingredient lists and product-identity regions, after which PaddleOCR and structured extraction recover nutrient values, ingredient evidence and product-form information.1
• For qualifying unresolved cases, a selective vision-language model (VLM) review stage using Qwen3-VL 8B Instruct reassesses unresolved evidence.1
• Evidence-level evaluation nevertheless identified incorrect VLM-recovered nutrition, ingredient and product-form evidence.1

Sources (1)

• [1]Region-Guided Food-Package Evidence Extraction and Abstention-Aware Draft R3337 Screening with Selective VLM Review
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 20, 01:48 PM

  Applying South Africa's draft R3337 warning criteria to food-package photographs requires nutrition, ingredient and product-form evidence.

  This study presents a region-guided evidence extraction and abstention-aware screening workflow for draft R3337.

Extractive summary: sentences quoted from the sources.