Tomato Leaf Disease Dataset
Dataset of annotated images of tomato leaves showing 10 types of common diseases and healthy leaves, intended for agricultural research and computer vision.
Description
The dataset Tomato Leaf Disease Dataset contains approximately 11,000 images of tomato leaves showing various diseases such as the tomato mosaic virus, bacterial spots, mildew, powdery mildew, and others, as well as healthy leaves. Each image is labeled according to the disease present, making it easy to train computer vision models for the detection and classification of plant diseases.
What is this dataset for?
- Develop AI models to automatically diagnose crop diseases
- Training vision systems for precision agriculture
- Test and validate algorithms for the classification and detection of images in agricultural environments
Can it be enriched or improved?
Yes, this dataset can be enriched by adding images taken in other light conditions, with different varieties of tomatoes or new diseases. Annotation can also be refined by adding specific segments of diseased areas for image segmentation.
🔎 In summary
🧠 Recommended for
- AI agricultural researchers
- Computer vision developers
- Machine learning students
🔧 Compatible tools
- TensorFlow
- PyTorch
- FastAI
- LabelImg
- Roboflow
💡 Tip
To improve robustness, add data under various real conditions (different seasons, angles, varieties).
Frequently Asked Questions
What diseases are covered by this dataset?
It includes 10 common tomato leaf diseases, including mosaic, bacterial spotting, mildew, powdery mildew, and healthy leaves.
Is this dataset suitable for image segmentation?
Primarily designed for classification, but can be enriched for segmentation via additional annotations.
Does the license allow commercial use?
Yes, the CC0 license allows any use, including commercial use, without restrictions.
