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19 sie 2024 · 1. Download the Dataset: Access the dataset by downloading the entire folder. The dataset is organized into multiple subfolders, each representing a specific tomato leaf disease. 2. Unzip the Dataset: Extract the contents of the downloaded file using any standard unzipping software.
- Dataset of Tomato Leaves - Mendeley Data
This database is divided into two datasets for tomato leaf...
- GTLD: A dataset of tomato leaf diseases - Mendeley Data
Images of common plant diseases such leaf miner, leaf curl,...
- Dataset of Tomato Leaves - Mendeley Data
Tomato leaf disease detection using CNN. Tomato leaf disease detection using CNN. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more. OK, Got it. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. ...
27 maj 2020 · This database is divided into two datasets for tomato leaf images according to different image sources. The tomato leaf images of the first dataset are selected from the PlantVillage database with ten categories (nine disease categories and one health).
11 lip 2024 · Images of common plant diseases such leaf miner, leaf curl, blight, cutwork infected leaf, leaf spot, and Alternaria were gathered from various tomato cultivation fields. An expert assisted in sorting the randomly selected images.
Each image in the dataset typically represents a tomato plant leaf exhibiting symptoms of different diseases, such as bacterial spot, early blight, late blight, leaf mold, septoria leaf spot, and others.
PlantVillage is the most widely used publicly available dataset for Tomato Disease detection, but it was created in a lab/controlled environment, and models trained on it do not perform well on real-world images.
Over 20k labelled images for Tomato Leaf Disease Classification with 11 classes.
