- Source created: April 25, 2022, 3:37 a.m.
- Default image annotation area: X: 0 - 100% / Y: 0 - 100%
- Annotation point generation: Simple random, 20 points
- Feature extractor: EfficientNet (default)
- Confidence threshold: 100% (edit)
Dataset for training students on CoralNet, and how it can be used for measuring percentage cover of the benthic environment of coral reefs.
Members
| Opwall_Master | Admin |
| alexsindrey | Edit |
| am21224 | Edit |
| CaraghFletcher | Edit |
| CrabMan64 | Edit |
| JMclark2 | Edit |
| Katarina | Edit |
| lucas_marine | Edit |
| Luke_7 | Edit |
| morganwarren | Edit |
| pb19299 | Edit |
| sc21665 | Edit |
| sd20067 | Edit |
| zw21487 | Edit |
Source Details
| Visibility: Public |
| Latitude: 16.08852 |
| Longitude: -86.9110 |
Automated Annotation
This source does not have a classifier yet. 20 images required to trigger training the first one.