MuSe-CaR-Part
Description
This dataset is a subset of 74 videos from the multimodal in-the-wild dataset MuSe-CAR. It contains 1 124 video frames showing human-vehicle interactions across all MuSe topics and 6 146 labels (bounding boxes). The pre-defined training, development and test partitions are also provided.
The purpose of this dataset is to support research in the field of automatic recognition and detection of automotive parts in a natural context. It provides labels for 29 interior and exterior vehicle regions during human-vehicle interaction. It also enables benchmarking and cross-corpus transfer learning, as demonstrated in GoCarD (A Generic, Optical Car Part Recognition and Detection). The footage captures many "in-the-wild" characteristics, including a range of shot sizes, camera motion, moving objects, a wide variety of backgrounds and different interactions.
The MuSe data set can only be used for research purposes (see below).
Files
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You need to satisfy these conditions in order for this request to be accepted:
Any models, derived from data contained in MuSe-CaR may only be used for scientific, non-commercial applications. Commercial applications include, but are not limited to: Proving the efficiency of commercial systems, Testing commercial systems, Using screenshots of subjects from the database in advertisements, Selling data from the database. Please download and fill out the EULA - End User License Agreement before requesting the data. We will review your application and get in touch as soon as possible. Thank you.
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