A comprehensive dataset of garlic leaf images for the identification of Tipburn disease in Bangladesh
Domain:
agricultureRecord type:
dataset
Creator:
RezRahIslRah
Editor:
Khw
Publisher:
Men
Host:
The Garlic Leaf Dataset consists of images of Tipburn-affected leaves and healthy leaves. The dataset is organized into two main subfolders: Healthy Leaf and Affected Leaf.Each of these folders is further divided into two subfolders: Original Images and Augmented Images.The Healthy Leaf folder contains 3,454 images and the Affected Leaf folder contains 3,990 images.
In total, the garlic leaf dataset contains 7,444 high-quality images. The dataset was collected from different locations across Bangladesh at various times of the day and was verified by an agriculture specialist. It is suitable for applying deep learning and machine learning methods.
Similar
Plant Leaf Freshness and Disease Detection Dataset From BangladeshDisease Identification and Classification From Pearl Millet Leaf Images Using Machine Learning TechniquesA Medicinal Plant Leaf Image Dataset from Bangladesh for Deep Learning–Based RecognitionBDEggs: A comprehensive image dataset of different types of eggs from birds in BangladeshDataset of Virginia Flue-cured Tobacco Leaf images based on stalk leaf position for classification tasks: A case of TanzaniaWasteSegCluster dataset of annotated waste images from urban water bodies in Bangladesh