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Railway Defect - v6 2023-05-22 12:18pm |
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This dataset was exported via roboflow.com on May 22, 2023 at 5:32 AM GMT |
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Roboflow is an end-to-end computer vision platform that helps you |
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* collaborate with your team on computer vision projects |
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* collect & organize images |
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* understand and search unstructured image data |
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* annotate, and create datasets |
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* export, train, and deploy computer vision models |
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* use active learning to improve your dataset over time |
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For state of the art Computer Vision training notebooks you can use with this dataset, |
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visit https://github.com/roboflow/notebooks |
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To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com |
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The dataset includes 3564 images. |
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Rail-defect are annotated in clip format. |
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The following pre-processing was applied to each image: |
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* Auto-orientation of pixel data (with EXIF-orientation stripping) |
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* Resize to 224x224 (Stretch) |
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The following augmentation was applied to create 2 versions of each source image: |
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* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise |
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* Random shear of between -15° to +15° horizontally and -15° to +15° vertically |
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* Random Gaussian blur of between 0 and 2.5 pixels |
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