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dominos - v2 2024-09-14 6:35am ============================== This dataset was exported via roboflow.com on September 14, 2024 at 6:38 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 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 To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com The dataset includes 270 images. Dominos are annotated in COCO format. The following pre-processing was applied to each image: * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) The following augmentation was applied to create 3 versions of each source image: * 50% probability of horizontal flip * Randomly crop between 0 and 20 percent of the image * Random rotation of between -15 and +15 degrees * Random Gaussian blur of between 0 and 1.5 pixels * Salt and pepper noise was applied to 0.1 percent of pixels |