Mango Dataset
Published: 4 February 2025| Version 1 | DOI: 10.17632/gcgrjvwmm2.1
Contributors:
, , , , , Manjunath Varchagall, Description
The dataset consists of 1,025 images of mangoes, distributed across three main folders: Single, Proximal, and Far-Field. Each of these folders is further divided into two subfolders: images and labels. To incorporate diversity in the dataset the following challenges are addressed like environmental variability – lighting conditions, shadowed reflections; tree structure complexity – occlusion and variation in tree architecture; mango morphology; Image quality – distance from mangoes are included
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Categories
Object Detection, Machine Learning, Precision Agriculture, Deep Learning