Seasonal Parking Lot Dataset
The SPKL dataset contains 1203 images of parking lots divided into 11 categories regarding vision conditions (including the 'winter' category absent in other datasets at the time of publishing).
Parking lot annotations: lists of parking lot coordinates (4 points per lot)
Vision categories: sunny, overcast, rainy, winter, fog, glare, night, infrared, occlusion (car), occlusion (tree), distortion
Labels: binary (occupied/non-occupied)
Variants: SPKL
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Parking Space Occupancy | EfficientNet-P | Revising deep learning methods in … | 2023-06-07 |
| Parking Space Occupancy | ViT | Revising deep learning methods in … | 2023-06-07 |
| Parking Space Occupancy | CarNet | Revising deep learning methods in … | 2023-06-07 |
| Parking Space Occupancy | MobileNetV2 | Revising deep learning methods in … | 2023-06-07 |
| 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 |
| Parking Space Occupancy | CFEN | Revising deep learning methods in … | 2023-06-07 |
Recent papers with results on this dataset: