Hyperspectral Image Datasets Collection on GitHub

A collection of hyperspectral image datasets, curated by Sellifake and hosted on GitHub. The datasets are licensed under the MIT license and were last updated on May 30, 2025.

Use Cases

• Train and validate hyperspectral image classification models using the provided image collections.
• Benchmark hyperspectral image segmentation algorithms against standard datasets in the collection.
• Conduct spectral analysis and feature extraction studies on hyperspectral imagery.

Strengths

• The collection is licensed under the permissive MIT license.
• The repository was updated on May 30, 2025, indicating recent maintenance.

Limitations

• The specific datasets, their sizes, and the number of images are not detailed.
• The lack of column or feature descriptions makes direct analytical use difficult.

Provenance

Source

GitHub repository by author Sellifake.

Collection Method

Curated collection of hyperspectral image datasets.

Freshness

Last updated on May 30, 2025.