SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events
收藏Mendeley Data2024-05-10 更新2024-06-29 收录
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https://zenodo.org/records/7431011
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资源简介：
SUTD-TrafficQA is a dataset that takes the form of Video QA based on 10,080 in-the-wild videos and annotated 62,535 QA pairs, for benchmarking the cognitive capability of causal inference and event understanding models in complex traffic scenarios. Specifically, the dataset proposes 6 challenging reasoning tasks corresponding to various traffic scenarios, so as to evaluate the reasoning capability over different kinds of complex yet practical traffic events.
创建时间：
2023-06-28
