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Somayeh-h/Nordland

The Nordland dataset captures images from a 728‑km railway journey in Norway, divided into the four seasons: spring, summer, autumn, and winter. The dataset is organized into four folders named after the seasons, each containing 35,768 images. Images correspond one‑to‑one across folders. For each traverse, corresponding ground‑truth data are provided in the specified .csv files. Additionally, the dataset includes a file named `nordland_imageNames.txt` that provides a filtered list of images, excluding segments captured when the train speed was below 15 km/h.

Updated 1/25/2024
hugging_face

Description

Nordland Dataset

Dataset Description

The Nordland dataset records a 728‑km railway journey in Norway across the four seasons: spring, summer, autumn, and winter. The dataset is divided into four folders, each named after a season and containing 35,768 images. Images correspond one‑to‑one across folders.

Each seasonal traverse includes corresponding ground‑truth data stored in the designated .csv files. Additionally, a file named nordland_imageNames.txt provides a filtered list of images, excluding segments captured when the train speed was below 15 km/h.

Citation Information

If you use this dataset, please cite the original publication:

Sünderhauf, Niko, Peer Neubert, and Peter Protzel. "Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons." Proc. of Workshop on Long-Term Autonomy, IEEE International Conference on Robotics and Automation (ICRA). 2013.

bibtex @inproceedings{sunderhauf2013we, title={Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons}, author={S{"u}nderhauf, Niko and Neubert, Peer and Protzel, Peter}, booktitle={Proc. of workshop on long-term autonomy, IEEE international conference on robotics and automation (ICRA)}, pages={2013}, year={2013} }

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Topics

Visual Place Recognition
Neural Networks

Source

Organization: hugging_face

Created: Unknown

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