HyperLabel

Import .mat hyperspectral cubes, annotate polygons and boxes, then deploy datasets to HyperIA.

HyperLabel is H2M’s annotation module: upload raw hyperspectral data (.mat cubes today; ENVI planned), define labels, draw polygons or boxes per band, and deploy the result to HyperIA for model training.

Start with Quick start (step-by-step with screenshots), then see Raw Datasets for a focused overview of the raw-dataset area.

Trainings

Configure classifiers, selectors, and band ranges; then compare metrics across HyperIA runs.

Quick start

Create a raw dataset, upload .mat cubes, define labels, annotate, deploy to HyperIA, and train.