Info hash | b2a418e07b033bbb37ff46d030d9633d365c148e |
Last mirror activity | 0:35 ago |
Size | 102.13GB (102,132,625,822 bytes) |
Added | 2019-01-22 21:41:47 |
Views | 998 |
Hits | 2248 |
ID | 4084 |
Type | multi |
Downloaded | 65 time(s) |
Uploaded by | |
Folder | openem_example_data |
Num files | 4720 files [See full list] |
Mirrors | 5 complete, 0 downloading = 5 mirror(s) total [Log in to see full list] |

![]() | 274.96MB |
![]() | 9.07kB |
![]() | 8.91kB |
![]() | 12.15kB |
![]() | 14.63kB |
![]() | 14.27kB |
![]() | 306.49kB |
![]() | 10.34kB |
![]() | 9.85kB |
![]() | 190.34MB |
![]() | 60.63kB |
![]() | 31.32kB |
![]() | 19.46kB |
![]() | 8.64MB |
![]() | 201.65kB |
![]() | 148.29kB |
![]() | 138.38kB |
![]() | 15.46MB |
![]() | 15.82MB |
![]() | 15.77MB |
![]() | 0.49kB |
![]() | 1.91kB |
![]() | 5.60kB |
![]() | 0.77kB |
![]() | 1.26kB |
![]() | 1.01kB |
![]() | 1.51kB |
![]() | 0.26kB |
![]() | 0.70kB |
![]() | 0.52kB |
![]() | 2.65kB |
![]() | 2.15kB |
![]() | 0.08kB |
![]() | 0.29kB |
![]() | 1.62kB |
![]() | 0.12kB |
![]() | 2.69kB |
![]() | 1.87kB |
![]() | 0.47kB |
![]() | 1.93kB |
![]() | 2.05kB |
![]() | 1.23kB |
![]() | 0.44kB |
![]() | 1.00kB |
![]() | 0.07kB |
![]() | 1.39kB |
![]() | 0.99kB |
![]() | 0.92kB |
![]() | 0.80kB |
Type: Dataset
Tags: machine learning, Fisheries
Bibtex:
Tags: machine learning, Fisheries
Bibtex:
@article{, title= {openem_example_data}, journal= {}, author= {CVision AI}, year= {}, url= {https://github.com/openem-team/openem}, abstract= {Dataset to run OpenEM examples and tutorial.}, keywords= {Machine learning,Fisheries}, terms= {}, license= {}, superseded= {} }