Objective: Evaluation and Development of Approaches for EVCS Detection
EVCS Dataset: Dataset with high quality, fine-grained annotations of electric vehicle charging station
- Motivation
- Electric vehicles are becoming more common
- Automatic detection of charging stations helps in automated/assisted parking applications
- Existing image datasets for driving scenarios do not include annotated charging stations
- Dataset contains
- Part A: Fine-grained instance mask annotations of 8 common charging station types
- Part B: 759 images, covering 13 additional types of EVCS labelled at supercategory level
- Demonstration Video [YouTube]
Version 1.0
Dataset
Download dataset images
Details about the EVCS dataset and how to train and test the baseline detectors as presented in our paper [1] are explained in this guide
EVCS Paper:
[1] Lin Chen, Sönke Südbeck, Christoph Riggers, Tobias Geib, Kai Cordes, and Hellward Broszio:
"EVCS: A Benchmark for Fine-Grained Electric Vehicle Charging Station Detection", GCPR 2025, to be published
