Sign Language: Towards Sign Understanding for Robot Autonomy
Paper • 2506.02556 • Published
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The SiGNgapore2D dataset is published as part of the work "Sign Language: Towards Sign Understanding for Robot Autonomy". The work present the task of navigational sign understanding, which includes detecting and parsing signs that aid humans with wayfinding. The dataset contains 160 images of scenes that include at least one navigational sign, and 205 navigational signs for the recognition task. The images were collected at multiple locations in Singapore, including hospitals, malls, transportation hubs, parks and the NUS campus. The dataset captures various degrees of scene complexity, as well as a wide variety of navigational sign designs.
For the our basline model for the sign understanding task, please check out out GitHub.
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