PKLot Computer Vision Project

Universidade Federal do Parana

Updated 2 years ago

15k

views

2.9k

downloads

Maintainer

Brad Dwyer

Metrics

Try This Model

Drop an image or

browse your device

Description

Parking Lot Dataset

The PKLot dataset contains 12,416 images of parking lots extracted from surveilance camera frames. There are images on sunny, cloudy, and rainy days and the parking spaces are labeled as occupied or empty. We have converted the original annotations to a variety of standard object detection formats by enclosing a bounding box around the original dataset's rotated rectangle annotations.

Using this Dataset

The PKLot database is licensed under a Creative Commons Attribution 4.0 License and may be used provided you acknowledge the source by citing the PKLot paper in publications about your research:

Almeida, P., Oliveira, L. S., Silva Jr, E., Britto Jr, A., Koerich, A., PKLot – A robust dataset for parking lot classification, Expert Systems with Applications, 42(11):4937-4949, 2015.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            pklot-1tros_dataset,
                            title = { PKLot Dataset },
                            type = { Open Source Dataset },
                            author = { Universidade Federal do Parana },
                            howpublished = { \url{ https://universe.roboflow.com/brad-dwyer/pklot-1tros } },
                            url = { https://universe.roboflow.com/brad-dwyer/pklot-1tros },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-11-21 },
                            }