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FoxehCorp_Airplane_Dataset - v4 2022-08-31 4:49am ============================== This dataset was exported via roboflow.com on September 26, 2022 at 7:06 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 50 images. Airplanes 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 400x400 (Fit (black edges)) The following augmentation was applied to create 3 versions of each source image: * 50% probability of horizontal flip * Random rotation of between -30 and +30 degrees * Random shear of between -15° to +15° horizontally and -15° to +15° vertically The following transformations were applied to the bounding boxes of each image: * Random rotation of between -30 and +30 degrees * Random shear of between -15° to +15° horizontally and -15° to +15° vertically |