WebJun 19, 2024 · In order to accurately detect bridge cracks, we proposed an end-to-end model named Skip-Squeeze-and-Excitation Networks (SSENets). It is mainly composed … WebMar 22, 2024 · Currently, concrete crack datasets are shared and published online in the AI community to reduce the difficulty of building the datasets. However, the problem of detecting damage on the reinforced concrete surface currently lacks specific datasets that are reliable enough for cracks on the surface of the bridge structure.
Full article: Designing image processing tools for testing concrete ...
WebMar 15, 2024 · Abstract. Crack is the external expression form of potential safety risks in bridge construction. Currently, automatic detection and segmentation of bridge cracks … WebMay 7, 2024 · SDNET2024 is an annotated image dataset for training, validating and benchmarking artificial intelligence-based concrete crack detection algorithms. The dataset contains more than 56,000 images of crack and uncrack concrete bridge decks, walls … cynthia frelund picks week 16
Crack detection for concrete bridges with imaged based deep …
WebJan 15, 2024 · The classification and identification of crack are studied by using the open-source bridge crack dataset. MobileNetV3-Large-CBAM is compared with cutting-edge CNNs, and it verifies that the proposed model combined with the preferred Focal Loss has good performance in dealing with imbalanced datasets and hard samples. To verify the ... WebThe outputs of the Skele-Marker algorithm when tested on various noisy concrete crack images are shown in Appendix. These figures highlight the algorithm’s ability to de-noise images with varying levels of noise severity while maintaining TP pixels. The false positives of each noise removal method on the uncracked dataset were calculated as a ... WebOct 4, 2024 · Bridge cracks and pavement cracks are equal to concrete surface cracks. Based on the engineering application prospect of the crack detection method, this paper … billy the kid momaday