F

Fish

Developed by ThrFergus
This is a fish image classification model built based on PyTorch and HuggingPics, capable of recognizing different types of 2D fish images.
Downloads 16
Release Time : 3/3/2023

Model Overview

This model is specifically designed for 2D fish image classification tasks, supporting the recognition of fish images in various styles, including colored, line art, outlines, and sketches.

Model Features

Multi-Style Recognition
Capable of recognizing 2D fish images in various artistic styles, including colored, line art, outlines, and sketches.
High Accuracy
Achieves a classification accuracy of 85.71% on the test set.
Easy to Use
Built with the HuggingPics framework, making it easy to deploy and use.

Model Capabilities

2D Image Classification
Multi-Style Image Recognition
Fish Image Recognition

Use Cases

Education
Children's Educational Apps
Used in children's educational apps to identify and classify fish images in different styles
Helps children learn about fish and artistic representations
Art Creation
Art Style Analysis
Analyze fish images in different artistic styles
Can be used for art research and creative reference
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