Safran-MNIST-D

<p>This dataset contains images of serial numbers extracted from diverse avionic parts manufactured by&nbsp;<strong><a href="https://www.safran-group.com/">SAFRAN</a></strong>, the international high-technology group and world leader operating in the aviation (propulsion, equipment and interiors), defense and space markets. This dataset resembles the well-known MNIST dataset, but with a focus to industrial contexts, encompassing variations in lighting conditions, orientations, writing styles and surface textures.&nbsp;</p> <p>The dataset contains 10 classes depicting numbers, from 0 to 9</p> <p>August 14th, 2024 : Validation dataset containing 421 images without labels is released.</p> <p>December 5th, 2024 : Testing dataset released, ground-truth labels for validation and testing released.</p> <p>This dataset has been proposed in the context of <a title="https://dagecc-challenge.github.io/icpr2024/" href="https://dagecc-challenge.github.io/icpr2024/" target="_blank" rel="noreferrer noopener">ICPR24 DAGECC Competition</a></p>