Rose Image Classification Dataset

The Rose Image Classification Dataset comprises a total of 3,000 images, categorized into four distinct classes based on rose color: Red, Pink, Yellow, and White. The dataset was developed to support deep learning-based image classification and agricultural research applications. 📊 Class-wise Distribution Red: 1,200 images Pink: 900 images Yellow: 500 images White: 400 images The dataset exhibits a moderate class imbalance, with the Red class containing the highest number of samples and the White class the lowest. This distribution reflects real-world data collection scenarios and enables evaluation of model performance under imbalanced conditions.