Detecting and quantifying deep sea benthic life using advanced object detection
We present a new dataset combined with the DeepSee model, which utilizes the YOLOv8 architecture, designed to rapidly and accurately detect benthic lifeforms in deep-sea environments of the North Atlantic. The dataset consists of 2,825 carefully curated images, encompassing 20,076 instances across 1...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1470424/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|