fruit_segmentation - v4 2022-09-14 5:27am
==============================

This dataset was exported via roboflow.com on September 13, 2022 at 7:28 PM GMT

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 131 images.
Fruits are annotated in COCO Segmentation format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 320x320 (Stretch)

The following augmentation was applied to create 3 versions of each source image:
* 50% probability of horizontal flip
* 50% probability of vertical flip
* Randomly crop between 0 and 50 percent of the image
* Random rotation of between -45 and +45 degrees
* Random shear of between -36° to +36° horizontally and -32° to +32° vertically
* Salt and pepper noise was applied to 2 percent of pixels