Database and Images of Cutaneous Leishmaniasis Direct Smears: Detection of Leishmania spp. Parasite in Microscopy Images Using Machine Learning Algorithms.

This database and images were created for Cutaneous Leishmaniasis research, mainly for computer vision and machine learning studies. The dataset is organized into two main folders, designed to facilitate access and analysis of the images and corresponding labeling data. The first folder, 'EPVIEW_LC_S,' contains a total of 500 PNG images, each with a resolution of 2592 x 1944 pixels. These images represent positive direct smears with Cutaneous Leishmaniasis. The organization of the images follows a hierarchical structure, distributed across 50 folders (L1 – L50), where each folder symbolizes an individual exam slide. Inside each main folder, there are two subfolders that house the images of the two samples present on each slide, with 5 images per subfolder, corresponding to the 5 microscopic fields captured for each sample. This results in a set of 10 images per slide. The second folder, 'Etiquetado_LC_T,' contains the labeling process carried out for each image with the collaboration of two experts in the field. A total of 7,905 Leishmania spp. parasites were identified and labeled. Using bounding boxes, the precise dimensions of the parasites were recorded, including width, height, and the central location of each parasite within the image, with (x, y) coordinates, along with the parasite label. This information was stored in JSON files, whose names correspond directly to the images they reference, ensuring an accurate relationship that facilitates the use of the data for research purposes. The organization structure of the labeling folder mirrors that of the image folder.本数据库及配套图像专为皮肤利什曼病（Cutaneous Leishmaniasis）研究构建，主要服务于计算机视觉与机器学习相关研究。 本数据集分为两个主文件夹，旨在简化图像及对应标注数据的访问与分析流程。 第一个文件夹为「EPVIEW_LC_S」，共包含500张PNG格式图像，分辨率均为2592×1944像素。所有图像均为皮肤利什曼病阳性直接涂片样本。 图像采用层级化组织结构，被划分为50个子文件夹（L1 – L50），每个子文件夹对应一份独立的检测玻片。每个主文件夹下设有两个子文件夹，分别存储该玻片上两份样本的图像；每个子文件夹包含5张图像，对应每份样本拍摄的5个显微视野。因此每张玻片对应10张图像。 第二个文件夹为「Etiquetado_LC_T」，收纳了经本领域两名专家协作完成的全部图像标注数据。本次标注共识别并标记了7905个利什曼原虫属（Leishmania spp.）寄生虫。 标注采用边界框（bounding boxes）记录寄生虫的精确尺寸信息，包括宽度、高度，以及该寄生虫在图像中的中心位置（x,y坐标），同时附带寄生虫类别标签。上述信息均存储于JSON格式文件中，文件名与其所对应的图像文件名完全一致，确保了数据关联的准确性，便于研究人员使用该数据集。标注文件夹的组织结构与图像文件夹完全一致。