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Railway Defect - v4 2023-05-19 9:12am ============================== This dataset was exported via roboflow.com on May 22, 2023 at 5:11 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 1230 images. Rail-defect are annotated in clip format. The following pre-processing was applied to each image: * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 224x224 (Stretch) The following augmentation was applied to create 3 versions of each source image: * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random shear of between -15° to +15° horizontally and -15° to +15° vertically * Random Gaussian blur of between 0 and 2.5 pixels |