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----
-language: en
-license: apache-2.0
-library_name: yolov5
-tags:
-- yolov5
-- object-detection
-- fish-detection
-- coral-detection
-- sonar-detection
-- oceangpt-x
----
-# Ocean-yolo: Marine Object Detectors
-Specialized YOLOv5 detection models for fine-grained localization and classification of marine targets. Invoked after the routing stage.
-## Model Weights
-| File | Task | Classes | Architecture |
-|------|------|---------|--------------|
-| `sonar_detector/best.pt` | Sonar target detection | 15 sonar categories | YOLOv5 |
-| `fish_detector/best.pt` | Fish species/object detection | Multiple fish classes | YOLOv5 |
-| `coral_detector/best.pt` | Coral species/object detection | Multiple coral classes | YOLOv5 |
-## Usage
-Requires [YOLOv5](https://github.com/ultralytics/yolov5).
-```python
-import torch
-# Load detector (e.g., Fish)
-model = torch.hub.load("ultralytics/yolov5", "custom", path="fish_detector/best.pt", force_reload=True)
-# Inference
-results = model("input.jpg", conf=0.5, iou=0.45)
-results.print()