Tablets Instance Segmentation - v1 tablets detection
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This dataset was exported via roboflow.com on September 26, 2022 at 6:14 AM GMT

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It includes 260 images.
Tablets-capsule 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
* Random rotation of between -15 and +15 degrees
* Random shear of between -15° to +15° horizontally and -15° to +15° vertically
* Random brigthness adjustment of between -15 and +15 percent
* Random exposure adjustment of between -10 and +10 percent
* Salt and pepper noise was applied to 1 percent of pixels