MIC21 image dataset

<p>The <strong>Multilingual Image Corpus</strong> provides fully annotated objects within images with segmentation masks, classified according to an Ontology of Visual Objects, thus offering data to train models specialised in object detection, segmentation and classification.&nbsp;</p><p>The Ontology of visual objects allows easy integration of annotated images in different datasets as well as learning the associations between objects in images.&nbsp;</p><p>The Ontology classes are translated into 25 languages and supplied with definitions and usage examples. The explicit association of objects and images with appropriate text fragments is relevant for multilingual image caption generation, image-to-text alignment and automatic question answering for images and video.&nbsp;</p>