http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114419027-A

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filingDate 2022-02-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_74d2ef15a6bba4b7559f5752560c5644
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d06d57094b0d3459546f17b4d398d9eb
publicationDate 2022-04-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114419027-A
titleOfInvention Mobile terminal steel bar detection and counting method based on YOLOv5s
abstract The invention provides a mobile terminal steel bar detection and counting method based on YOLOv5s, which relates to the field of computer vision and edge computing. The method collects cross-sectional images of steel bars in construction sites, constructs a steel bar test set, and selects steel bars disclosed in the 2019 Digital China Innovation Competition The inventory data set is used as the training set, the YOLOv5s target detection model is used, and the training set is input into the model. After training and iterative feedback, the steel bar detection counting model is obtained. The steel bar detection counting model is deployed to the mobile phone application through the Pyorch Mobile framework to achieve End-to-end data processing to promote the construction of smart construction sites.
priorityDate 2022-02-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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Total number of triples: 22.