metadata
title: OceanCV FirstPass
emoji: 🦑
colorFrom: blue
colorTo: indigo
sdk: streamlit
app_file: app.py
pinned: false
language: en
license: mit
tags:
- ocean
- computer-vision
- yolo
- detection
- marine-science
datasets:
- OceanCV
metrics:
- map
- precision
- recall
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
Usage
from ultralytics import YOLO
model = YOLO("OceanCV_FirstPass.pt")
results = model.predict("image.jpg", imgsz=1024)