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anomaly-detection - v2 2023-08-30 4:52pm ============================== This dataset was exported via roboflow.com on August 30, 2023 at 2:58 PM 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 381 images. Boxes-anomaly are annotated in YOLOv8 format. The following pre-processing was applied to each image: * Auto-orientation of pixel data (with EXIF-orientation stripping) The following augmentation was applied to create 3 versions of each source image: * 50% probability of horizontal flip * Random rotation of between -5 and +5 degrees * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -6 and +6 percent * Random Gaussian blur of between 0 and 1.75 pixels |