Detecting diseases Computer Vision Project
Farhan Abdullah Yunus
Updated 3 days ago
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Classes (13)
10-515625
ALS
Angular Leafspot
Anthracnose Fruit Rot
Bean Rust
Blossom Blight
Gray Mold
Leaf Spot Powdery Mildew Fruit
Powdery Mildew Leaf
disease
leaf mold
spider mites
Description
Beans, Strawberry and Tomato diseases - v1 2022-09-01
This dataset was exported via roboflow.com on Sep 2, 2022
Roboflow is an end-to-end computer vision platform that helps you
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- collect & organize images
- understand unstructured image data
- annotate, and create datasets
- export, train, and deploy computer vision models
- use active learning to improve your dataset over time
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
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detecting-diseases-f6j4d_dataset,
title = { Detecting diseases Dataset },
type = { Open Source Dataset },
author = { Farhan Abdullah Yunus },
howpublished = { \url{ https://universe.roboflow.com/farhan-abdullah-yunus/detecting-diseases-f6j4d } },
url = { https://universe.roboflow.com/farhan-abdullah-yunus/detecting-diseases-f6j4d },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-18 },
}