Detecting diseases Computer Vision Project
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Beans, Strawberry and Tomato diseases - v1 2022-09-01
This dataset was exported via roboflow.com on Sep 2, 2022
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It includes 5494 images. Diseases are annotated in YOLO v7 PyTorch format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
- Resize to 416x416 (Stretch)
No image augmentation techniques were applied.
Classes: Strawberry 'Angular Leafspot' 'Anthracnose Fruit Rot' 'Blossom Blight' 'Gray Mold' 'Leaf Spot' 'Powdery Mildew Fruit' 'Powdery Mildew Leaf' Tomato 'disease' 'leaf mold' 'spider mites' Bean 'ALS' 'Bean Rust'
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detecting-diseases_dataset,
title = { Detecting diseases Dataset },
type = { Open Source Dataset },
author = { Artificial Intelligence },
howpublished = { \url{ https://universe.roboflow.com/artificial-intelligence-82oex/detecting-diseases } },
url = { https://universe.roboflow.com/artificial-intelligence-82oex/detecting-diseases },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-12-22 },
}