Labeled Cracks in the Wild (LCW) Dataset

<div><p>Labeled Cracks in the Wild (LCW) is a dataset which
comprises of real images taken from Virginia Department of Transportation
(VDOT) structural inspection reports. This dataset focuses on cracks in the
global scene rather than zoomed-in concrete patch. The cracks for LCW were
annotated using the GIMP software (The GIMP Development Team, 2019). The
guidelines for the annotations are provided by the authors in the file folder.
There are a total of 3,817 finely annotated images. The images were split into
training and testing, 90% and 10% respectfully. The images were resized to
512x512 for training and testing the DeeplabV3+ model. The original and resized
images are included. After training with the DeeplabV3+ model (DOI: 10.7294/16628707),
we were able to correctly identify approximately 40% of the annotated ground
truth cracks. More details of the training, the results, the dataset, and the
code may be referenced in the journal article. The GitHub repository
information may be found in the journal article.</p><p><br>If you are using the dataset in your work, please include <b>both </b>the journal article and the dataset citation. <br></p></div><div></div>