Tier-based Dataset: Musa-Acuminata Banana Fruit Species

Each folder inside the banana image dataset folder contains a banana tier with its six side images. The number corresponds to its sampleID. There are 194 banana tier subjects with six images corresponding to its side views: front, left, right, back, top and bottom. A total of 1,164 banana images. The banana_features.csv shows the extracted features: RGB (red, green, blue) color values, the image side view, class and finger size. There are four class values with its respective numerical value (1: ‘extra class’, 2: ‘class II’, 3: ‘class I’, 4: ‘reject’) and there are 65, 49, 30 and 50 samples per class, respectively. Note that the finger size feature was taken by manually measuring the length of the top middle finger of a banana tier ("hand") in millimeter (mm). This specific finger was assumed to have a regular size compared to other fingers. This dataset can be used for machine learning classification of banana based on its features. In addition, the available images can be used for automating the manual measurement of the top middle finger size.香蕉图像数据集文件夹内的每个子文件夹均包含一个香蕉串（banana tier）及其六张侧面视角图像，文件夹编号对应其样本ID。该数据集共包含194个香蕉串样本，每个样本对应六张侧面视图：正面、左侧、右侧、背面、顶面及底面，总计1164张香蕉图像。附属文件banana_features.csv中存储了提取得到的特征：RGB（红、绿、蓝）颜色值、图像侧面视角类型、类别标签以及果指尺寸。类别标签共包含4个取值，分别对应：1为“特级（extra class）”、2为“二级（class II）”、3为“一级（class I）”、4为“不合格品（reject）”，各类别样本量依次为65、49、30和50。需特别说明：果指尺寸特征通过手动测量香蕉串顶部中间果指的长度（单位：毫米，mm）获得，该果指被假定为与其余果指尺寸具有常规一致性。本数据集可用于基于特征的香蕉品类机器学习分类任务；此外，其附带的图像可用于实现顶部中间果指尺寸的自动化测量流程。