A Robust Dataset for Parking Lot Classification
The PKLot dataset contains 12,417 images of parking lots and 695,899 images of parking spaces segmented from them, which were manually checked and labeled. All images were acquired at the parking lots of the Federal University of Parana (UFPR) and the Pontificial Catholic University
of Parana (PUCPR), both located in Curitiba, Brazil.
Variants: PKLot
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Parking Space Occupancy | VGG-19 | Revising deep learning methods in … | 2023-06-07 |
Parking Space Occupancy | ResNet50 | Revising deep learning methods in … | 2023-06-07 |
Recent papers with results on this dataset: