MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 video clips from 20 categories, and each video clip is annotated with 20 English sentences by Amazon Mechanical Turks. There are about 29,000 unique words in all captions. The standard splits uses 6,513 clips for training, 497 clips for validation, and 2,990 clips for testing.
536 PAPERS • 7 BENCHMARKS
The dataset contains single-shot videos taken from moving cameras in underwater environments. The first shard of a new Marine Video Kit dataset is presented to serve for video retrieval and other computer vision challenges. In addition to basic meta-data statistics, we present several insights based on low-level features as well as semantic annotations of selected keyframes. 1379 videos with a length from 2 s to 4.95 min, with the mean and median duration of each video is 29.9 s, and 25.4 s, respectively. We capture data from 11 different regions and countries during the time from 2011 to 2022.
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ChinaOpen is a new video dataset targeted at open-world multimodal learning, with raw data gathered from Bilibili, a popular Chinese video-sharing website. The dataset has a large webly annotated training set of videos (associated with user-generated titles and tags) and a smaller manually annotated test set of videos (with manually checked user titles / tags, manually written captions, and manual labels describing what visual objects / actions / scenes shown in the visual content).
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MSVD-Indonesian is derived from the MSVD dataset, which is obtained with the help of a machine translation service. This dataset can be used for multimodal video-text tasks, including text-to-video retrieval, video-to-text retrieval, and video captioning. Same as the original English dataset, the MSVD-Indonesian dataset contains about 80k video-text pairs.
1 PAPER • 4 BENCHMARKS