Dataset of Foramen Magnum for sex determination

Published: 24 June 2024| Version 1 | DOI: 10.17632/w2b8kx2bvn.1
Chollanot Kaset


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 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 To find over 100k other datasets and pre-trained models, visit 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



Thammasat University - Rangsit Campus


Base of Skull, Image Database