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This dataset contains images of eight varieties of Pakistani mangoes. An experiment is performed on the proposed dataset for automated classification and grading of harvested mangoes to facilitate farmers in delivering high-quality mangoes on time for export, and a high accuracy is achieved using Convolutional Neural Network.<br>Researchers and students can use this dataset to develop, test and evaluate different computer vision algorithms to contribute the improving agriculture sector. The provided dataset can be consider as a benchmark for testing and comparing the performance of different state-of-the-arts.

本数据集包含8个巴基斯坦芒果品种的图像。本数据集已被用于开展采收芒果自动分级与分类的相关实验，旨在帮助果农按时交付高品质芒果用于出口；实验采用卷积神经网络（Convolutional Neural Network）取得了较高的分类精度。研究人员与学生可利用本数据集开发、测试并评估各类计算机视觉算法，为农业领域的发展贡献力量。本数据集可作为测试与对比各类前沿算法性能的基准数据集。