Detecting diseases Computer Vision Project

TRY THIS MODEL
Drop an image or

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

  • collaborate with your team on computer vision projects
  • 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'

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 2022-12-04 },
}

Last Updated

22 days ago

Project Type

Object Detection

Subject

Disease

Classes

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

License

CC BY 4.0