Cauliflower Diseases Identification Image Dataset

The cauliflower disease image dataset consists of four well-defined classes: Bacterial Spot Rot, Black Rot, Downy Mildew, and Healthy Fruit. Each class includes 100 original RGB images with a resolution of 224×224 pixels, captured under natural lighting to preserve real-world features. To improve model performance and increase data diversity, 600 augmented images per class were generated using standard augmentation techniques such as rotation, flipping, zooming, brightness variation, noise addition, and translation. This brings the total number of images in the dataset to 2,800, with 700 images for each class. The dataset is well-balanced and specifically curated to support deep learning-based classification and detection of common cauliflower diseases, providing a reliable benchmark for training and evaluation of plant disease recognition models.