Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
Visual crack detection
Dataset acquired from https://digitalcommons.usu.edu/all_datasets/48/
About this project
Visual Anomaly Detection (FOMO-AD)
Read more about FOMO-AD here: https://docs.edgeimpulse.com/docs/edge-impulse-studio/learning-blocks/visual-anomaly-detection
Dataset: https://digitalcommons.usu.edu/all_datasets/48/
Maguire, M., Dorafshan, S., & Thomas, R. J. (2018). SDNET2018: A concrete crack image dataset for machine learning applications. Utah State University. https://doi.org/10.15142/T3TD19
Run this model
Scan QR code or launch in browser
Dataset summary
Data collected
1,308 itemsLabels
nominalProject info
| Project ID | 288658 |
| License | BSD 3-Clause Clear |
| No. of views | 207,062 |
| No. of clones | 66 |
