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Electric Vehicle Charging Stations Dataset

Objective: Evaluation and Development of Approaches for EVCS Detection [1]
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
Image


Version 1.0

Dataset

Download dataset images

Details about the EVCS dataset and how to train and test the baseline detectors present in our paper [1] are explained in this guide

Major Types

wallbe ZAS

HYC 300

Compleo DUO IMS

ABB Terra 54

HYC 150

Tritium PK

Compleo DUO

Tesla Supercharger

References:

[1] Lin Chen, Sönke Südbeck, Christoph Riggers, Tobias Geib, Kai Cordes, Hellward Broszio: "EVCS: A Benchmark for Fine-Grained Electric Vehicle Charging Station Detection", under review: Intelligent Vehicles Symposium, IV 2025

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