This dataset contains a total of 1,071 high-quality images of Spanish cherry leaves collected from the National Martyrs' Memorial, Nobinagar, located in Savar, Dhaka, Bangladesh. The dataset includes both healthy and diseased leaves affected by various biotic and abiotic stress factors commonly observed in Spanish cherry plants. The primary disease categories represented in this collection are Chewing Insects, Fungal Leaf Spot, Localized Damage, and Sap-Sucking Insects, along with a separate category for healthy leaves. All images were captured under natural field conditions using the primary camera of an iPhone 13 (12MP) and iPhone 14 (12MP) to maintain consistency in quality and lighting. The photographs focus on the symptomatic regions of the leaves, ensuring clear visibility of disease characteristics such as color changes, mold growth, curling, or spotting. Each image was manually reviewed and labeled by plant pathology experts based on visible features corresponding to specific diseases or healthy conditions. The dataset was compressed by 80% to reduce storage requirements and enhance accessibility without significant loss in visual detail. Images are stored in JPG format and organized into folders according to their disease category, with 206 images of Chewing Insects, 251 of Fungal Leaf Spot, 152 Healthy, 294 of Localized Damage, and 168 of Sap-Sucking Insects. This dataset provides a valuable resource for researchers and practitioners working in plant pathology, agriculture, and artificial intelligence, particularly in the development of deep learning and computer vision models for automatic plant disease detection and classification. It can also be used in educational and diagnostic applications, helping improve early disease recognition and supporting precision agriculture practices.Disease Categories: Chewing Insects: 206 images Fungal Leaf Spot: 251 images Healthy: 152 images Localized Damage: 294 images Sap-Sucking Insects: 168 images

This dataset contains a total of 1,071 high-quality images of Spanish cherry leaves collected from the National Martyrs' Memorial, Nobinagar, located in Savar, Dhaka, Bangladesh. The dataset includes both healthy and diseased leaves affected by various biotic and abiotic stress factors commonly observed in Spanish cherry plants. The primary disease categories represented in this collection are Chewing Insects, Fungal Leaf Spot, Localized Damage, and Sap-Sucking Insects, along with a separate category for healthy leaves. All images were captured under natural field conditions using the primary camera of an iPhone 13 (12MP) and iPhone 14 (12MP) to maintain consistency in quality and lighting. The photographs focus on the symptomatic regions of the leaves, ensuring clear visibility of disease characteristics such as color changes, mold growth, curling, or spotting. Each image was manually reviewed and labeled by plant pathology experts based on visible features corresponding to specific diseases or healthy conditions. The dataset was compressed by 80% to reduce storage requirements and enhance accessibility without significant loss in visual detail. Images are stored in JPG format and organized into folders according to their disease category, with 206 images of Chewing Insects, 251 of Fungal Leaf Spot, 152 Healthy, 294 of Localized Damage, and 168 of Sap-Sucking Insects. This dataset provides a valuable resource for researchers and practitioners working in plant pathology, agriculture, and artificial intelligence, particularly in the development of deep learning and computer vision models for automatic plant disease detection and classification. It can also be used in educational and diagnostic applications, helping improve early disease recognition and supporting precision agriculture practices.Disease Categories: Chewing Insects: 206 images Fungal Leaf Spot: 251 images Healthy: 152 images Localized Damage: 294 images Sap-Sucking Insects: 168 images