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
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
