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Ecuadorian cuisine is very varied, with typical dishes from various regions often using fresh herbs. Among them, coriander and parsley are frequently used but often confused because of their similar appearance. This confusion can result in inexperienced or visually impaired people using the wrong herb, thus altering the flavor and unique qualities of the dishes. To address this problem, in this work, we present an image classification model capable of distinguishing between coriander and parsley leaves. Three architectures (MobileNetV2, EfficientNetB0 and InceptionV3) were evaluated to determine which offered the highest accuracy. MobileNetV2 proved to be the most efficient model, demonstrating superior stability and achieving greater than 99% accuracy.

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Automatic Differentiation Between Coriander and Parsley Using MobileNetV2

  • 会议论文

  • 发表日期：

    2025年

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  • Ian Páez,
  • José Arévalo,
  • Mateo Martinez,
  • Martin Molina,
  • Robinson Guachi,
  • D. H. Peluffo-Ordóñez,
  • Lorena Guachi-Guachi

摘要

Ecuadorian cuisine is very varied, with typical dishes from various regions often using fresh herbs. Among them, coriander and parsley are frequently used but often confused because of their similar appearance. This confusion can result in inexperienced or visually impaired people using the wrong herb, thus altering the flavor and unique qualities of the dishes. To address this problem, in this work, we present an image classification model capable of distinguishing between coriander and parsley leaves. Three architectures (MobileNetV2, EfficientNetB0 and InceptionV3) were evaluated to determine which offered the highest accuracy. MobileNetV2 proved to be the most efficient model, demonstrating superior stability and achieving greater than 99% accuracy.