NYU-VP
Introduced by Kluger et al. in CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
NYU-VP is a new dataset for multi-model fitting, vanishing point (VP) estimation in this case. Each image is annotated with up to eight vanishing points, and pre-extracted line segments are provided which act as data points for a robust estimator. Due to its size, the dataset is the first to allow for supervised learning of a multi-model fitting task.
Source: CONSAC: Robust Multi-Model Fitting by Conditional Sample ConsensusPapers
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