Automated crack assessment: an application on ultra-high-performance concrete (UHPC) panels
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes 6 images of large-sized concrete cracks, with their respective processed results. Unlike other data used for related studies, which often contain small-sized and well-refined cracks, cracks in this dataset has various features (diagonal orientations, thick cracks with multiple thin branches, etc.). Hence, it is expected that utilizing the submitted dataset will offer a chance for other researchers to test their algorithms and methodologies on data resembling real life data (such as those images collected from buildings or bridges)The dataset containing 6 images was first manually preprocessed for this study [“01.1 Original Images”]. Note that the original images are included in the same folder [“Original Sources” that is under “01.1 Original Images”] along with those preprocessed ones. Next, manually-annotated, p' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Automated Crack Assessment","computer vision","Convolutional Neural Network (CNN)","Image Morphological Operations","Skeletonization"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset includes 6 images of large-sized concrete cracks, with their respective processed results. Unlike other data used for related studies, which often contain small-sized and well-refined cracks, cracks in this dataset has various features (diagonal orientations, thick cracks with multiple thin branches, etc.). Hence, it is expected that utilizing the submitted dataset will offer a chance for other researchers to test their algorithms and methodologies on data resembling real life data (such as those images collected from buildings or bridges)The dataset containing 6 images was first manually preprocessed for this study [“01.1 Original Images”]. Note that the original images are included in the same folder [“Original Sources” that is under “01.1 Original Images”] along with those preprocessed ones. Next, manually-annotated, p' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset includes 6 images of large-sized concrete cracks, with their respective processed results. Unlike other data used for related studies, which often contain small-sized and well-refined cracks, cracks in this dataset has various features (diagonal orientations, thick cracks with multiple thin branches, etc.). Hence, it is expected that utilizing the submitted dataset will offer a chance for other researchers to test their algorithms and methodologies on data resembling real life data (such as those images collected from buildings or bridges)The dataset containing 6 images was first manually preprocessed for this study [“01.1 Original Images”]. Note that the original images are included in the same folder [“Original Sources” that is under “01.1 Original Images”] along with those preprocessed ones. Next, manually-annotated, p
Automated Crack Assessment; computer vision; Convolutional Neural Network (CNN); Image Morphological Operations; Skeletonization