ActivityNet Entities Dataset

ActivityNet-Entities, augments the challenging ActivityNet Captions dataset with 158k bounding box annotations, each grounding a noun phrase. This allows training video description models with this data, and importantly, evaluate how grounded or "true" such model are to the video they describe.

ActivityNet-Entities 对极具挑战性的 ActivityNet Captions 数据集进行了增强，添加了 158k 个边界框标注，每个标注均对应一个名词短语。这使得利用该数据集训练视频描述模型成为可能，并且尤为重要的是，可以评估此类模型描述视频的准确性和与视频内容的关联程度。