Explore high-quality datasets for your AI and machine learning projects.
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.