README.roboflow.txt

Tomato Leaf Disease - v6 2023-04-01 2:05pm
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This dataset was exported via roboflow.com on March 1, 2024 at 5:29 AM GMT

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* collaborate with your team on computer vision projects
* collect & organize images
* understand and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit https://github.com/roboflow/notebooks

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The dataset includes 41366 images.
Tomato-Leaf-Disease are annotated in YOLOv9 format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 512x512 (Stretch)

The following augmentation was applied to create 3 versions of each source image:
* 50% probability of horizontal flip
* 50% probability of vertical flip
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
* Random rotation of between -15 and +15 degrees
* Random shear of between -15° to +15° horizontally and -15° to +15° vertically
* Random exposure adjustment of between -5 and +5 percent