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WEC Types

Developed by lazyturtl
This is an image classification model built using PyTorch and HuggingPics, specifically designed to identify different types of Wave Energy Converters (WEC).
Downloads 32
Release Time : 3/22/2022

Model Overview

The model can classify images of Wave Energy Converters (WEC) into four main types: attenuator, oscillating water column, overtopping, and point absorber.

Model Features

High Accuracy Classification
Achieves 78.3% accuracy on the test set, effectively distinguishing between the four main WEC types.
Ease of Use
Built via the HuggingPics platform, making it easy to deploy and use.
Domain-Specific Optimization
Specifically optimized for Wave Energy Converter images, suitable for the marine energy sector.

Model Capabilities

Image Classification
Wave Energy Converter Identification
Renewable Energy Equipment Analysis

Use Cases

Marine Energy Research
WEC Type Identification
Automatically identifies and classifies the types of Wave Energy Converters
Helps researchers quickly analyze and understand the distribution of different WEC types.
Renewable Energy Education
Teaching Aid Tool
Used to demonstrate and explain different types of Wave Energy Converters
Enhances students' understanding of marine energy technologies.
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