地球资源数据云——数据资源详情
枣果数据集
该数据集《Date Fruit Datasets》主要用于多分类任务，数据形态以图像为主，应用场景偏向农业场景。 题目说明：7 Class; Barhee, Deglet Nour, Sukkary, Rotab Mozafati, Ruthana, Safawi, Sagai 任务类型：图像多分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 DATASET: https://www.muratkoklu.com/datasets/ Citation Request : KOKLU, M., KURSUN, R., TASPINAR, Y. S., and CINAR, I. (2021). Classification of Date Fruits into Genetic Varieties Using Image Analysis. Mathematical Problems in Engineering, Vol.2021, Article ID: 4793293, DOI:10.1155/2021/4793293 https://www.hindawi.com/journals/mpe/2021/4793293/ Abstract: A great number of fruits are grown around the world, each of which has various types. The factors that determine the type of fruit are the external appearance features such as color, length, diameter, and shape. The external appearance of the fruits is a major determinant of the fruit type. Determining the variety of fruits by looking at their external appearance may necessitate expertise, which is time - consuming and requires great effort. The aim of this study is to classify the types of date fruit, that are, Barhee, Deglet Nour, Sukkary, Rotab Mozafati, Ruthana, Safawi, and Sagai by using three different machine learning methods. In accordance with this purpose, 898 images of seven different date fruit types were obtained via the computer vision system (CVS). Through image processing techniques, a total of 34 features, including morphological features, shape, and color, were extracted from these images.
摘要概览
该数据集《Date Fruit Datasets》主要用于多分类任务，数据形态以图像为主，应用场景偏向农业场景。 题目说明：7 Class; Barhee, Deglet Nour, Sukkary, Rotab Mozafati, Ruthana, Safawi, Sagai
任务类型：图像多分类。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。
DATASET: https://www.muratkoklu.com/datasets/
Citation Request : KOKLU, M., KURSUN, R., TASPINAR, Y. S., and CINAR, I. (2021). Classification of Date Fruits into Genetic Varieties Using Image Analysis. Mathematical Problems in Engineering, Vol.2021, Article ID: 4793293, DOI:10.1155/2021/4793293 https://www.hindawi.com/journals/mpe/2021/4793293/
Abstract: A great number of fruits are grown around the world, each of which has various types. The factors that determine the type of fruit are the external appearance features such as color, length, diameter, and shape. The external appearance of the fruits is a major determinant of the fruit type.
Determining the variety of fruits by looking at their external appearance may necessitate expertise, which is time - consuming and requires great effort. The aim of this study is to classify the types of date fruit, that are, Barhee, Deglet Nour, Sukkary, Rotab Mozafati, Ruthana, Safawi, and Sagai by using three different machine learning methods.
In accordance with this purpose, 898 images of seven different date fruit types were obtained via the computer vision system (CVS). Through image processing techniques, a total of 34 features, including morphological features, shape, and color, were extracted from these images.