Dry Fruit Image Dataset

The "Dry Fruit Image Dataset" is a collection of 11500+ processed high-quality images representing 12 distinct classes of dry fruits. The 4 dry fruits—Almonds, Cashew Nuts, Raisins, and Dried Figs (Anjeer)—along with 3 sub-types of each are contained in the sub-folders, making a total of 12 distinct classes. These pictures were taken with a high-definition camera on cell phones. The dataset contains images in different lighting conditions as well as with different backgrounds. This dataset can be used for building machine learning models for the classification and recognition of Dry Fruits, requiring neat, appropriately tagged, and high-quality images. The dry fruit classification algorithm can be trained, tested, and validated using this dataset. Furthermore, it is beneficial for dry fruit research, education, and medicinal purposes.

「干果图像数据集（Dry Fruit Image Dataset）」是一个包含11500余张经过预处理的高质量图像的集合，涵盖12种不同类别的干果。该数据集的子文件夹中收纳了4类基础干果——杏仁（Almonds）、腰果（Cashew Nuts）、葡萄干（Raisins）、无花果干（Dried Figs，又称Anjeer）——以及每类基础干果下设的3个子类别，共计12个独立类别。所有图像均通过手机高清摄像头拍摄采集，涵盖不同光照条件与不同背景下的样本。本数据集具备样本规整清晰、标注规范、画质优良的特性，可用于构建针对干果分类与识别任务的机器学习模型。依托该数据集，可开展干果分类算法的训练、测试与验证工作。此外，该数据集还可应用于干果相关的科研、教学及药用研究场景。