Bridge Crack Library
<|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:'The bridge crack library (BCL) was an image dataset established to support the deep learning-based crack detection research. This dataset was based on 1180 raw images collected from inspection for in-service bridges. It contains 11000 pixel-wise labeled images with 256×256 resolutions. The dataset could be used to the training of deep neural networks for semantic segmentation of crack images' . 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" : ["Bridge Crack Detection","Deep Learning","Fully Convolutional Network","Image Dataset","Structural Health Monitoring"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The bridge crack library (BCL) was an image dataset established to support the deep learning-based crack detection research. This dataset was based on 1180 raw images collected from inspection for in-service bridges. It contains 11000 pixel-wise labeled images with 256×256 resolutions. The dataset could be used to the training of deep neural networks for semantic segmentation of crack images' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The bridge crack library (BCL) was an image dataset established to support the deep learning-based crack detection research. This dataset was based on 1180 raw images collected from inspection for in-service bridges. It contains 11000 pixel-wise labeled images with 256×256 resolutions. The dataset could be used to the training of deep neural networks for semantic segmentation of crack images
Bridge Crack Detection; Deep Learning; Fully Convolutional Network; Image Dataset; Structural Health Monitoring