OceanCV_FirstPass

Unified marine object detection model.

Dataset Overview

  • Total Images: 8,605
  • Total Annotations: 85,557
  • Classes: 1 (object)
  • Input Resolution: 1024x1024

Performance Metrics (Epoch 87)

Metric Value
mAP50 85.1%
mAP50-95 61.3%
Precision 87.7%
Recall 77.8%

Visualizations

Results Confusion Matrix Normalized Confusion Matrix F1 Curve Precision Curve Recall Curve PR Curve Labels

Usage

from ultralytics import YOLO
model = YOLO("OceanCV_FirstPass.pt")
results = model.predict("image.jpg", imgsz=1024)
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