Artificial Intelligence

Detecting diseases

Object Detection


Detecting diseases Computer Vision Project

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5493 images
Explore Dataset

Beans, Strawberry and Tomato diseases - v1 2022-09-01

This dataset was exported via 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'

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

                            title = { Detecting diseases Dataset },
                            type = { Open Source Dataset },
                            author = { Artificial Intelligence },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-02-21 },

Connect Your Model With Program Logic

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Last Updated

a year ago

Project Type

Object Detection




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

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