Published October 28, 2024
| Version 0.0.1
Dataset
Open
Hyperspectral datacube and raw spatio-spectral images of Butterfly
Authors/Creators
Description
This dataset contains spectral data of four butterfly species: Hypolimnas Misippus (HM), Danaus Chrysippus (DC), Amauris Ochlea (AO), and Acraea Egina (AE). The data collection has been obtained with the help of International Institute of Tropical Agriculture (IITA) in Benin.
It is structured as follows :
- `classification_test/` : Contains raw spatio-spectral images related to the testing of classification models.
- `{species}/` : Contains the raw images for each butterfly `{species}`
- `{species}/` : Contains the raw images for each butterfly `{species}`
- `datacube/` : Contains hyperspectral datacubes for each species, used to estimate Gaussian distribution parameters.
- `{species}/cube {#No}` : Contains the specific datacube for the butterfly `{species}`
- `{filename}.dat` : Data file containing the primary spectral information of the butterfly `{species}`.
- `{filename}.dat.hdr` : Header file containing metadata for the corresponding `{filename}.dat` file, including information about dimensions, wavelengths, and other important parameters.
- `{filename}_mask.npy` : A NumPy array file that likely contains a mask to segment butterfy regions in the hyperspectral datacube.
Files
dataset_spatio_spectral.zip
Additional details
Software
- Repository URL
- https://github.com/barbeblanche96/Butterfly-classification-spatio-spectral
- Programming language
- Python
- Development Status
- Active