Comprehensive Rose Leaf Disease Dataset for AI-Enhanced Plant Pathology Research

1. Roses are highly valued in the horticultural industry due to their aesthetic appeal and monetary worth. However, numerous diseases that can seriously affect plant health and productivity often pose a challenge to their cultivation. It is essential to accurately and promptly identify leaf diseases in order to treat these issues. A carefully selected collection, the Rose Leaf Disease Dataset is intended to help horticulturists, researchers, and machine learning professionals identify and categorize diseases that impact rose leaves. This collection of high-resolution images of rose leaves displays a variety of situations, including diseases and healthy ones. It covers several prevalent rose leaf diseases, such as Black Spot, Downy Mildew, Insect Hole, Powdery_Mildew, Rose_Mosaicand and Rose_Rust. Extensive annotations are appended to every image, offering discernible information regarding the kind and intensity of the ailment, thus enabling accurate and dependable model training and validation. Furthermore, the information is enhanced with metadata that documents the geographical locations and ambient conditions of the image captured. This contextual data can improve the precision of predictive models and is essential for comprehending the variables influencing the occurrence of disease.
2. These days, deep learning and computer vision techniques hold a lot of promise for handling these kinds of classification and detection tasks.
3. A thorough dataset for Rose Leaf Disease is presented in order to develop deep learning methods. This dataset's classifications were created in cooperation with a subject matter expert from an agricultural institute.
4. A total of 10300 images of Black Spot(3000), Downy Mildew(1102), Insect Hole(2360), Powdery_Mildew(1000), Rose_Mosaicand (1000), Rose_Rust (1000),Fresh(3845) were gathered from four different places here in Bangladesh they are : Sadullapur, Birulia Union, Savar, Dhaka (Latitude :23° 50' 13" north, Longitude:90° 19' 15" east), Godkhali Flower Garden,Jhikorgachha, Jessore(Latitude: 23.0833° North Longitude: 89.0667° East), Bangladesh Agricultural Development Corporation, Kashimpur, Gazipur. (latitude:23.9778° North and longitude: 90.3225° East) and Mogra Union, Ghior Upazila, Manikganj District (Latitude: 23.8833° North and Longitude: 89.8333° East)Then, in order to balance the dataset for transformer learning model , 3845 augmented images were created from these original images for each class by applying techniques such as flipping, width shifting, height shifting, brightening, rotating, shearing, and zooming.