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ResistorDataset - v1 2021-11-02 9:05pm ============================== This dataset was exported via roboflow.com on December 7, 2022 at 8:42 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 135 images. Resistor 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 416x416 (Stretch) * Auto-contrast via adaptive equalization The following augmentation was applied to create 3 versions of each source image: * 50% probability of horizontal flip * 50% probability of vertical flip The following transformations were applied to the bounding boxes of each image: * 50% probability of horizontal flip * 50% probability of vertical flip * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Randomly crop between 0 and 20 percent of the bounding box * Random brigthness adjustment of between -25 and +25 percent * Salt and pepper noise was applied to 5 percent of pixels |