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Zoalearn2

Developed by tdros
zoalearn2 is a coral species classification model fine-tuned based on Google's ViT model, capable of identifying 32 of the most popular coral species.
Image Classification
Transformers
#Coral Species Classification#High-precision ViT#Marine Life Identification
Downloads 16
Release Time : 2/27/2023

Model Overview

This model is fine-tuned from google/vit-base-patch16-224-in21k and specifically designed for coral species image classification tasks.

Model Features

High Accuracy
Achieves 80.96% accuracy in coral species classification tasks.
ViT-based Architecture
Utilizes Vision Transformer architecture with excellent image understanding capabilities.
Multi-species Classification
Capable of identifying 32 different coral species.

Model Capabilities

Coral species image classification
Marine life identification

Use Cases

Marine Biology Research
Automatic Coral Species Identification
Assists marine biologists in quickly identifying and classifying coral species.
Accuracy reaches 80.96%
Marine Ecosystem Monitoring
Coral Reef Health Assessment
Evaluates coral reef ecosystem health through coral species distribution analysis.
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