We introduce Horizon Lines in the Wild (HLW), a large dataset of real-world images with labeled horizon lines, captured in a diverse set of environments. The dataset is available for download at our project website [1]. We begin by characterizing limitations in existing datasets for evaluating horizon line detection methods and then describe our approach for leveraging structure from motion to automatically label images with horizon lines.
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