Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis.

The Sweet Orange Leaf Disease dataset offers a collection of images of sweet orange leaves collected from sweet orange growing gardens in Khemerdia, Bheramara, Kushtia, Bangladesh, pinpointed at geographical coordinates 35.3602°N and 113.9505°E. This data was collected from August 19 to August 22, 2023. The dataset comprises a total of 5,813 images. The dataset included healthy leaves and diseased leaves. In total, there are eleven classes: Citrus Canker, Citrus Greening, Citrus Mealybugs, Die Back, Foliage Damage, Spiny Whitefly, Powdery Mildew, Shot Hole, Yellow Dragon, Yellow Leaves, and Healthy Leaf. The photo was taken on a sunny day, so the image captured in natural lighting, and the temperature was around 27-29°C. Using two devices explicitly employing the high-resolution camera of an iPhone. The original images, captured in JPEG format, boasted a dimension of 3024 x 4032 pixels. The two devices, the iPhone XS Max and iPhone SE 2nd Generation, captured the dataset's photos. The data are converted into 640*480 pixels and a resolution of 72 dpi. Moreover, the images are annotated based on the diseases. This annotation will assist with semantic segmentation, which has attracted significant attention among data scientists.

甜橙叶片病害数据集（Sweet Orange Leaf Disease dataset）收录了采自孟加拉国库什蒂亚县布拉梅拉镇凯梅迪亚地区甜橙种植园的甜橙叶片图像，采集地理坐标为北纬35.3602°、东经113.9505°。该数据集的采集周期为2023年8月19日至8月22日，总计包含5813张图像，涵盖健康叶片与病害叶片两类样本，共包含11个类别：柑橘溃疡病（Citrus Canker）、柑橘黄龙病（Citrus Greening）、柑橘粉蚧（Citrus Mealybugs）、梢枯病（Die Back）、叶片损伤（Foliage Damage）、刺粉虱（Spiny Whitefly）、白粉病（Powdery Mildew）、穿孔病（Shot Hole）、黄龙症（Yellow Dragon）、黄叶病（Yellow Leaves）以及健康叶片（Healthy Leaf）。
所有图像均拍摄于晴天，采用自然光照，拍摄时环境温度约为27~29℃。本次采集使用两款搭载高分辨率摄像头的iPhone设备，具体为iPhone XS Max与iPhone SE 第二代（iPhone SE 2nd Generation）。原始图像采用JPEG格式，分辨率为3024×4032像素。后续将所有图像统一转换为640×480像素、72 dpi的规格。此外，所有图像均基于病害类型进行标注，该标注可助力语义分割任务，目前语义分割已受到数据科学家的广泛关注。