Datasets › SPKL

SPKL (Seasonal Parking Lot Dataset)

Introduced by Anastasia Martynova et al. in Revising deep learning methods in parking lot occupancy detection7 Jun 2023 archive 2025-07-28

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)

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Parking Space Occupancy SPKL EfficientNet-P F1-score 0.7393 Revising deep learning methods in parking lot occupancy detection eighonet/parking-research 7 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Revising deep learning methods in parking lot occupancy detection 1 7 7 Jun 2023 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • SPKL

1 variant name, as the archive lists them.

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