Leaf dataset. The dataset can be directly used with Keras, PyTorch About Data...
Leaf dataset. The dataset can be directly used with Keras, PyTorch About Dataset The Lemon Leaf Disease Dataset (LLDD) is a high-quality image dataset designed for training and evaluating machine learning models for lemon leaf disease classification. Contains files and folders of bachelor's thesis project titled 'Crop Disease Auto-Localization and Classification'. Think of it as a super-smart AI that can spot tiny objects in drone footage while bein About Dataset 1700+ images of coffee leaves with various diseases. Please cite these two papers if anyone uses this dataset: The dataset considers four common cotton leaf diseases—Fusarium wilt, Alternaria leaf spot, Verticillium wilt, and bacterial blight—each labeled and classified to support machine learning applications. Nov 14, 2024 · This dataset includes 480 high-resolution images of Hibiscus leaves, systematically categorized into Healthy_Leaf (240 images) and Diseased_Leaf (240 images). The classes labeled with 0000 to 0011 were marked as a healthy class and ranging from 0012 to 0022 were labeled diseased class. All images are organized into folders by leaf type, making it easy to use for training and evaluation in supervised learning models. We have collected about 4503 images of which contains 2278 images of healthy leaf and 2225 images of the diseased leaf. The images are in high resolution JPG format. This dataset was introduced in the paper "Using Deep Learning for Image-Based Plant 5 days ago · We enhanced the quality of the PlantDoc dataset by collaborating with experts to identify and crop regions containing disease-specific symptoms, while eliminating irrelevant image content. lipbflnlqlugvlmvhzuexpdzcaqexykjwvspdipofdrhdv