Dataset for localization and classification of Medjool dates in digital images
Nowadays, harvesting, sorting, and packaging fruit and vegetables are still done manually, despite the hard work this represents. The features that experts commonly use to sorting the date palm fruit are size, color, shape, and texture. Recently, it has started to design and develop artificial visio...
Main Authors: | Dalila Blanca Pérez-Pérez, Ricardo Salomón-Torres, Juan Pablo García-Vázquez |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-06-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921004005 |
Similar Items
-
Evaluation of Convolutional Neural Networks’ Hyperparameters with Transfer Learning to Determine Sorting of Ripe Medjool Dates
by: Blanca Dalila Pérez-Pérez, et al.
Published: (2021-02-01) -
Effect of Four Pollinating Sources on Nutritional Properties of Medjool Date (<i>Phoenix dactylifera</i> L.) Seeds
by: Ricardo Salomón-Torres, et al.
Published: (2020-02-01) -
Nutritional assessment, phytochemical composition and antioxidant analysis of the pulp and seed of medjool date grown in Mexico
by: Ricardo Salomón-Torres, et al.
Published: (2019-07-01) -
Thidiazuron-induced direct organogenesis from immature inflorescence of three date palm cultivars
by: Rania A. Taha, et al.
Published: (2021-01-01) -
Comparative evaluation of biochemical effects of date palm (<i>Phoenix dactylifera</i>) fruit extracts on paracetamol-induced hepatotoxicity in Wistar rats
by: O Ikponmwosa-Eweka, et al.
Published: (2019-05-01)