Detecting diseases Computer Vision Project

Artificial Intelligence

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Description

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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LICENSE

CC BY 4.0

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 2025-03-05 },
                            }