Fractex2D – Fracture Detection

Try out deep models that use RGB+DEM inputs along with classic vision methods that work on RGB images. Support for RGB-only deep models is on the way.

Deep Learning Segmentation

Patch-based fracture segmentation using UNet or SegFormer trained on FraXet dataset.

Requirements before running:

RGB image: .png or .tif
DEM: .tif
Both must have same resolution

The model processes the RGB + DEM pair in 256×256 patches internally to produce a binary fracture map, while still allowing you to input images of any size.

RGB image (.png/.tif)

DEM (.tif)

Model

Input RGB

Prediction

Examples

RGB image (.png/.tif)	DEM (.tif)	Model

The sample images included with this interface originate from: Nordbäck, N., & Ovaskainen, N. (2022). UAV-acquired orthomosaics of Loviisa shoreline outcrops (Version 1.0.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7077519