地球资源数据云——数据资源详情
开心果数据集
该数据集《Pistachio Dataset》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：Pistachio Dataset; 2 Class - Kirmizi and Siirt Pistachio, 16 and 28 Features 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。 Pistachio Image Dataset https://www.kaggle.com/datasets/muratkokludataset/pistachio - image - dataset DATASET: https://www.muratkoklu.com/datasets/ Citation Request : 1. OZKAN IA., KOKLU M. and SARACOGLU R. (2021). Classification of Pistachio Species Using Improved K - NN Classifier. Progress in Nutrition, Vol. 23, N. 2, pp. DOI:10.23751/pn.v23i2.9686. (Open Access) https://www.mattioli1885journals.com/index.php/progressinnutrition/article/view/9686/9178 2. SINGH D, TASPINAR YS, KURSUN R, CINAR I, KOKLU M, OZKAN IA, LEE H - N., (2022). Classification and Analysis of Pistachio Species with Pre - Trained Deep Learning Models, Electronics, 11 (7), 981. https://doi.org/10.3390/electronics11070981. (Open Access)
摘要概览
该数据集《Pistachio Dataset》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：Pistachio Dataset; 2 Class - Kirmizi and Siirt Pistachio, 16 and 28 Features
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。
Pistachio Image Dataset https://www.kaggle.com/datasets/muratkokludataset/pistachio - image - dataset
DATASET: https://www.muratkoklu.com/datasets/
Citation Request :
1. OZKAN IA., KOKLU M. and SARACOGLU R. (2021). Classification of Pistachio Species Using Improved K - NN Classifier. Progress in Nutrition, Vol. 23, N. 2, pp. DOI:10.23751/pn.v23i2.9686. (Open Access) https://www.mattioli1885journals.com/index.php/progressinnutrition/article/view/9686/9178
2. SINGH D, TASPINAR YS, KURSUN R, CINAR I, KOKLU M, OZKAN IA, LEE H - N., (2022). Classification and Analysis of Pistachio Species with Pre - Trained Deep Learning Models, Electronics, 11 (7), 981. https://doi.org/10.3390/electronics11070981. (Open Access)