2026-10-13T06:37:29Z https://data.mendeley.com/oai

oai:data.mendeley.com/584brzwsrs.1 2025-07-28T15:42:00Z

Deb Nath, Pulak Cactus: A Comprehensive Dataset of Cactus Leaf Categories from Bangladesh for Plant Classification Mendeley Data The multiclass cactus dataset was collected from different nurseries in Khagan, Ashulia, and Savar, Dhaka. There are 5 classes: Ball Cactus: 158 images Bunny Ear: 90 images Chin Cactus: 176 images Easter-lily cactus: 220 images Starfish Cactus: 85 images The images were captured using the Redmi note 10 smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images were captured in jpg format at a resolution of 3000× 3000 pixels, later resized to 640 × 480 pixels with a resolution of 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners focused on plant ditection. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology analysis, where understanding leaf conditions can play a critical role in improving crop health management strategies. Computer Science Computer Vision Machine Learning Pattern Recognition Classification Process Agricultural Plant Deep Learning Ahmed Komol, Tawhid Dataset doi:10.17632/584brzwsrs.1 oai:data.mendeley.com/584brzwsrs.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/584brzwsrs 2025-07-28T15:42:00Z