Fish species classification in unconstrained underwater environments based on deep learning
Underwater video and digital still cameras are rapidly being adopted by marine scientists and managers as a tool for non-destructively quantifying and measuring the relative abundance, cover and size of marine fauna and flora. Imagery recorded of fish can be time consuming and costly to process and...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
Association for the Sciences of Limnology and Oceanography
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/26863 |