“Cellphone picture-based, genus-level automated identification of Chagas disease vectors: effects of picture orientation on the performance of five machine-learning algorithms"

Triatomine bug pictures from "Cellphone picture-based, genus-level automated identification of Chagas disease vectors: effects of picture orientation on the performance of five machine-learning algorithms" (under review, Ecological Informatics, Elsevier; print ISSN: 1574-9541; online ISSN: 1878-0512). The access link will be available on the article web page upon publication.本数据集包含锥蝽（Triatomine bug）图像，来源于已投稿至爱思唯尔（Elsevier）旗下《生态信息学（Ecological Informatics）》期刊、处于同行评审待审状态的学术论文《基于手机图像的恰加斯病（Chagas disease）病媒属级自动识别：图像朝向对五种机器学习算法（machine-learning algorithms）性能的影响》。该期刊印刷版国际标准连续出版物号（ISSN）为1574-9541，网络版ISSN为1878-0512。数据集的访问链接将在论文正式出版后，于文章网页中公开。