Comprehensive lychee leaf data set: Digital images for analysis and classification
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The lychee leaves in the investigated dataset were carefully selected for a variety of research and analysis uses. The 4,129 high-resolution images in this dataset each show intricate lychee foliage details. The photographs' standardization at a resolution of 1080 x 1920 pixels makes them uniform and easy to use for a range of applications. Each of the three sets of leaves in this large dataset indicates a distinct aspect of lychee health and vitality. 1. Diseased Lychee Leaves (Class I): Total Count: 3,539 images Subcategories: This extensive class further subdivides into six subcategories, each representing a specific lychee leaf disease: -Entomosporium Leaf Spot on Woody Ornamentals - Leaf Blight Lychee Leaf Diseases - Lychee Algal Spot in Non-Direct Sunlight - Lychee Anthracnose on Cloudy Day - Lychee Leaf Mites in Direct Sunlight - Lychee Mayetiola After Raining 2. Dry Lychee Leaves (Class II): Total Count: 476 images Description: This category comprises images of lychee leaves in a desiccated state, reflecting the natural progression of foliage as it transitions from vigor to senescence. The dry lychee leaves may showcase characteristic features such as wilting, discoloration, and a withered appearance. 3. Healthy Lychee Leaves (Class III): Total Count: 114 images Description: These pristine specimens exemplify the ideal state of lychee leaves, exhibiting vibrant green hues, uniform textures, and the absence of any visible blemishes. They serve as a benchmark for assessing the well-being of lychee foliage.
本研究所用调查数据集的荔枝叶样本均经过精心筛选，可适配各类研究与分析场景。该数据集包含4129张高分辨率图像，每张均展现了荔枝叶片的精细细节。所有照片统一采用1080×1920像素的分辨率标准，确保数据集格式统一，便于多场景应用。该大型数据集涵盖三类叶片样本，分别对应荔枝健康与活力的不同维度： 1. 染病荔枝叶（类别I）：共计3539张图像。该大类进一步细分为六个子类别，每一类对应一种特定的荔枝叶病害： - 木本观赏植物嗜丝孢叶斑病（Entomosporium Leaf Spot） - 荔枝叶枯病（Leaf Blight Lychee Leaf Diseases） - 非直射光照下的荔枝藻斑病（Lychee Algal Spot） - 阴天条件下的荔枝炭疽病（Lychee Anthracnose） - 直射光照下的荔枝叶螨害（Lychee Leaf Mites） - 雨后荔枝瘿蚊害（Lychee Mayetiola） 2. 干枯荔枝叶（类别II）：共计476张图像。本类别包含处于脱水状态的荔枝叶图像，反映了叶片从生机盎然走向衰老的自然演化过程。干枯荔枝叶可呈现萎蔫、变色、枯萎等典型特征。 3. 健康荔枝叶（类别III）：共计114张图像。该类样本为优质标准试样，完美展现了荔枝叶的理想生长状态：色泽鲜亮翠绿、纹理均匀一致，无任何可见瑕疵，可作为评估荔枝叶片健康状况的基准参照。
