README.md

metadata

title: OceanCV
emoji: 🦑
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.9.0
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)