soybeans-not-noted-cut

This dataset contains images of grains classified into six categories based on different types of defects. The categories include good, moldy, burnt, pecky, scorched, and greenish. Each class is organized into separate folders, with images representing the specific conditions of each defect type. The dataset was collected to train machine learning models for the classification and detection of grains in various quality conditions. The images are in JPG format and range in size from 500x550 to 900x850 pixels.

Categories:

Good: Grains with no visible defects or signs of deterioration.
Moldy: Grains with visible mold or discoloration due to mold growth.
Burnt: Grains showing signs of burning or damage due to high temperatures.
Pecky: Grains damaged by insects or pests.
Scorched: Grains with superficial burning caused by improper processing.
Greenish: Grains showing a green color due to factors like immaturity or weather exposure.

Format: Images organized into folders by category.
Image Size: Ranges from 500x550 to 900x850 pixels.
Number of Images: 7328.

本数据集包含按不同缺陷类型划分为六大类的谷物图像，六大类别分别为完好、霉变、焦糊、虫蛀、烤焦以及发绿。每个类别均单独归档为独立文件夹，图像对应各类缺陷的具体表现形态。本数据集旨在训练可对不同品质状态的谷物进行分类与检测的机器学习模型。图像格式为JPG，尺寸范围为500×550至900×850像素。

类别说明：
完好：无可见缺陷或变质迹象的谷物。
霉变：因霉菌生长出现可见霉斑或变色的谷物。
焦糊：因高温出现燃烧或损伤痕迹的谷物。
虫蛀：受昆虫或其他害虫侵害的谷物。
烤焦：因加工不当造成表层灼伤的谷物。
发绿：因未成熟或环境暴露等因素呈现绿色的谷物。

数据组织格式：按类别归档至独立文件夹中。
图像尺寸：范围为500×550至900×850像素。
图像总数：7328张。