地球资源数据云——数据资源详情
干豆数据集_UCI
该数据集《Dry Bean Dataset_UCI》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：Multiclass classification of dry beans using computer vision and ML 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。 Source: Murat KOKLU Faculty of Technology, Selcuk University, TURKEY. ORCID : 0000 - 0002 - 2737 - 2360 mkoklu '@' selcuk.edu.tr Ilker Ali OZKAN Faculty of Technology, Selcuk University, TURKEY. ORCID : 0000 - 0002 - 5715 - 1040 ilkerozkan '@' selcuk.edu.tr Data Set Information: Seven different types of dry beans were used in this research, taking into account the features such as form, shape, type, and structure by the market situation. A computer vision system was developed to distinguish seven different registered varieties of dry beans with similar features in order to obtain uniform seed classification.
摘要概览
该数据集《Dry Bean Dataset_UCI》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：Multiclass classification of dry beans using computer vision and ML
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。
Source:
Murat KOKLU Faculty of Technology, Selcuk University, TURKEY. ORCID : 0000 - 0002 - 2737 - 2360 mkoklu '@' selcuk.edu.tr
Ilker Ali OZKAN Faculty of Technology, Selcuk University, TURKEY. ORCID : 0000 - 0002 - 5715 - 1040 ilkerozkan '@' selcuk.edu.tr
Data Set Information:
Seven different types of dry beans were used in this research, taking into account the features such as form, shape, type, and structure by the market situation. A computer vision system was developed to distinguish seven different registered varieties of dry beans with similar features in order to obtain uniform seed classification.