Alphonso Mango Ripening Stage Classification Dataset
Description
The dataset consists of images of mangoes that follow the progressive stage of ripening .Three categories are included unripe, ripe and partially ripe stage .The dataset will provide a highly comprehensive representation to capture the texture variations. As a result, the dataset will be beneficial during the training process compared to datasets collected through a random set at various stages of ripening. Additionally, the datasets provide insights into the natural variation that occurs during mango ripening stages. Each category has 250 images . The total images collected are 750. Please cite the following work for dataset usage : Prabhu, A., Rani, N. S., & Nandi, C. S. (2024). Towards importance of comprehensive color features analysis using iterative golden ratio proportions for Alphonso mango ripening stage classification by adapting to natural progressive ripening method. Journal of Food Composition and Analysis, 126, 105873.