Intelligent Recognition of Weak Discontinuities on Outcrops of Hard Rock Masses
Authors/Creators
Description
YoloV8 implementation of the paper "Intelligent Recognition of Weak Discontinuities on Outcrops of Hard Rock Masses"
Our network takes a distorted underwater image as an input and procude the corresponding sharp estimate. The model we use is YoloV8 framework.
The datasets we have also uploaded to Baidu Net, here is the website link and the extract code.
Website link: https://pan.baidu.com/s/1x6tRhmtSzhbDY5LERddKDQ
Extract code: rd85
For visiting the Baidu Net on a windows computer, one can access the following website: https://www.baidu.com/link?url=Vc9deB4dvzPYiItTBh7xriHpna2RuYUMfEYfjZ7o03y&wd=&eqid=fdf7d5180472f68f0000000667511c70
If you find our code helpful in your research or work please cite the paper.
@article{2024Recognition, title = {Intelligent Recognition of Weak Discontinuities on Outcrops of Hard Rock Masses}, author = {Wen Zhang, Guanglu Xu, Tengyue Li*, Shuonan Wang, and Danyang Wu}, journal = {}, eprint = {}, year = }
Files
Dataset.zip
Files
(19.7 GB)
| Name | Size | Download all |
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md5:092037c430a5e2ee56436bfe1f0e980c
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19.7 GB | Preview Download |