PSFD-Musa DATASET

Three dataset folders are presented here that include the Banana variety, Banana Disease, and Banana Deficiency. The dataset of "banana variety" consists of 7 classes (namely: Malbhog fruit (Musa assamica), Malbhog leaf (Musa assamica), Jahaji fruit (Musa chinensis), Jahaji stem (Musa chinensis), Jahaji leaf (Musa chinensis), Kachkol fruit (Musa paradisiaca L.), Bhimkol leaf (M. Balbisiana Colla)). The dataset of "banana disease" consists of 7 classes (namely: Bacterial Soft Rot, Banana Fruit Scarring Beetle, Black Sigatoka, Yellow Sigatoka, Panama disease, Banana Aphids, and PseudoStem Weevil). The dataset of "banana deficiency" consists of 1 class (namely: Potassium deficiency). The images are resized into 256 x 256 dimensions using Python OpenCV programming. As the raw image data are very less, therefore we have augmented it and now the dataset consists of about 8000+ image data. The augmentation is performed using Python programming. All the images are in RGB and .jpg format.

本处展示包含香蕉品种、香蕉病害与香蕉缺素三大类别的数据集文件夹。其中，“香蕉品种”数据集包含七个类别（具体包括：马拉博果（Musa assamica）、马拉博叶（Musa assamica）、贾哈吉果（Musa chinensis）、贾哈吉茎（Musa chinensis）、贾哈吉叶（Musa chinensis）、卡科尔果（Musa paradisiaca L.）、比姆科尔叶（M. Balbisiana Colla）等）。“香蕉病害”数据集亦包含七个类别（包括：细菌性软腐病、香蕉果实刺甲虫、黑斑病、黄斑病、巴拿马病、香蕉蚜虫和假茎象甲虫等）。而“香蕉缺素”数据集则仅有一个类别（即：钾缺素）。所有图像均经Python OpenCV编程库调整至256 x 256像素的尺寸。鉴于原始图像数据量较少，故采用Python编程进行数据增强，目前数据集包含8000余幅图像。图像均以RGB格式保存，并采用.jpg格式。