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