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>

<strong>多语言图像语料库（Multilingual Image Corpus）</strong>可为图像内已完成全标注的目标提供分割掩码，并依据视觉对象本体论（Ontology of Visual Objects）进行分类，从而为专门用于目标检测、分割与分类的模型训练提供数据支持。
视觉对象本体论可实现不同数据集内标注图像的便捷集成，同时支持学习图像内各目标间的关联关系。
该本体论的类别已被翻译为25种语言，并附带定义与使用示例。将目标与图像同适配的文本片段进行显式关联，可应用于多语言图像字幕生成、图像-文本对齐以及面向图像与视频的自动问答任务。