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zjunlp/
Ocean-router

Name: Ocean-router
Availability: InStock

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Ocean-router: Marine Image Routing Classifiers

Two-stage lightweight classifiers used to dynamically route marine images to specialized detectors based on image modality and content.

File	Task	Architecture	Input/Output
`cls_bio_sonar/best.pt`	Sonar vs. Biological routing	YOLOv11-cls	Image → `[sonar_prob, bio_prob]`
`fish_coral_cls/best.pt`	Fish vs. Coral routing	YOLOv5	Image → `[fish_prob, coral_prob]`

python

from ultralytics import YOLO
router = YOLO("cls_bio_sonar/best.pt")
results = router.predict("input.jpg")

Requires the official YOLOv5 repo

python

import torch
model = torch.hub.load("ultralytics/yolov5", "custom", path="fish_coral_cls/best.pt", force_reload=True)
results = model("input.jpg")

cls_bio_sonar decides if input is sonar or biological. If biological, fish_coral_cls routes to the appropriate species detector.