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segmnetation - v2 Final Segmented Dataset
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This dataset was exported via roboflow.com on September 20, 2022 at 5:51 AM 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 278 images.
Tumor 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 416x416 (Stretch)
* Grayscale (CRT phosphor)
* Auto-contrast via contrast stretching

The following augmentation was applied to create 3 versions of each source image:
* 50% probability of horizontal flip
* 50% probability of vertical flip