Tomato Fruit Image Dataset for Deep Transfer Learning-based Defect Detection

• Main Authors: De Luna, Robert G., Dadios, Elmer P., Bandala, Argel A., Vicerra, Ryan Rhay P.
• Format: text
• Published: Animo Repository 2019
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/811; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1810/type/native/viewcontent
• Institution: De La Salle University

© 2019 IEEE. Tomato is considered as one of the vegetable crops with highest demand in the Philippines. Job of the farmers does not end after harvesting since the harvested tomatoes needed to be sorted according to its size. Manual sorting is the most widely recognized strategy in sorting but is ver...