Published March 12, 2025 | Version 1.0.0
Dataset Open

CrackMNIST - A Large-Scale Dataset for Crack Tip Detection in Digital Image Correlation Data

Creators

  • 1. ROR icon Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Description

The objective of this project is to offer a diverse, large-scale, and standardized dataset designed for the training 
and evaluation of deep learning-based crack tip detection models. 
In addition to supporting research and practical applications, we aim to serve an educational purpose by providing a 
high-quality resource for students and researchers in the field of material science and mechanics.

We provide three datasets of different sizes ("S", "M", "L"). 
The datasets are split into training, validation, and test sets.
The digital image correlation (DIC) data consists of full-field planar displacements in x- and y- direction and is interpolated
to a regualar image-like grid. The data is provided in different resolutions: 28x28, 64x64, 128x128 and 256x256

Due to data storage constraints, for the highest resolution 256x256 the sizes "M" and "L" are not provided here but
are available upon request.

The CrackMNIST datasets can be easily loaded using the Python package crackmnist.

For further information, we refer to https://github.com/dlr-wf/crackmnist

Files

Files (31.3 GB)

Name Size Download all
md5:f4568b3d80afc93eadac2524c20f67d3
8.3 GB Download
md5:e10197e36aa26eb51981ab92c6dea905
5.3 GB Download
md5:01957bb66136725bf9d5dd4ecfbd067b
2.6 GB Download
md5:579f127cd296638ccb15f695a8ed3e48
10.2 GB Download
md5:9e1ff7ff395b2dbeb250e0484c78d3a1
403.4 MB Download
md5:58466521aa08dcc65a84d224e821985f
258.2 MB Download
md5:6db8fcb85274889f18af406cc7acead7
125.9 MB Download
md5:a186337e3b8fd3b9aeee86b0e3c30c18
2.1 GB Download
md5:7302c0b37f04d72e6dc4b953b7bd3e81
1.3 GB Download
md5:a792fd1696b3f2d9d42ac52cec70f6b9
652.6 MB Download

Additional details

Software

Repository URL
https://github.com/dlr-wf/crackmnist