Image-Based Parking Space Occupancy Classification: Dataset and Baseline

07/26/2021

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by   Martin Marek, et al.

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We introduce a new dataset for image-based parking space occupancy classification: ACPDS. Unlike in prior datasets, each image is taken from a unique view, systematically annotated, and the parking lots in the train, validation, and test sets are unique. We use this dataset to propose a simple baseline model for parking space occupancy classification, which achieves 98 accuracy on unseen parking lots, significantly outperforming existing models. We share our dataset, code, and trained models under the MIT license.