Dataset of Foramen Magnum for sex determination

Data augmentation, the dataset consisted of 2280 images, which were split into a training set (92%, 2100 images), validation set (5%, 120 images), and test set (3%, 60 images). This dataset was exported via roboflow.com on June 20, 2024 at 1:07 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 2280 images. Sex-determination-wUCa are annotated in Tensorflow Object Detection format. The following pre-processing was applied to each image: * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) The following augmentation was applied to create 5 versions of each source 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 * Random rotation of between -15 and +15 degrees * Random brigthness adjustment of between -15 and +15 percent * Random exposure adjustment of between -10 and +10 percent * Random Gaussian blur of between 0 and 2.5 pixels * Salt and pepper noise was applied to 0.14 percent of pixels