Dataset of Harumanis mango images for multi-modal maturity classification using ventral texture and size features.

Description

This dataset contains images of Harumanis mangoes collected from orchards in Perlis, Malaysia, for the purpose of maturity classification research. The dataset includes approximately 260 real images categorized into four maturity stages: unripe, semi-ripe, ripe, and rotten. All images were captured under controlled conditions using non-destructive imaging techniques. Each image is labeled according to its maturity stage based on agricultural standards. The dataset is organized into folders with corresponding labels provided in CSV format. This dataset can be reused for research in fruit maturity classification, agricultural automation, computer vision model development, and benchmarking of classification algorithms.

Institutions

• University of Kuala Lumpur

  Kuala Lumpur, Kuala Lumpur

Categories

Licence