Human-Animal-Cartoon (HAC) dataset consists of seven actions (‘sleeping’, ‘watching tv’, ‘eating’, ‘drinking’, ‘swimming’, ‘running’, and ‘opening door’) performed by humans, animals, and cartoon figures, forming three different domains. 3381 video clips are collected from the internet with around 1000 for each domain and three modalities are provided in the dataset: video, audio, and optical flow.
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Caltech Fish Counting Dataset (CFC) is a large-scale dataset for detecting, tracking, and counting fish in sonar videos. This dataset contains over 1,500 videos sourced from seven different sonar cameras.
The Sims4Action Dataset: a videogame-based dataset for Synthetic→Real domain adaptation for human activity recognition.
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