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Large Algae Vit Wirs
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Large Algae Vit Wirs

Developed by samitizerxu
This model is a fine-tuned version based on the Vision Transformer architecture, primarily used for algae image classification tasks, achieving an accuracy of 62.09% on the evaluation dataset.
Image Classification
Transformers
Open Source License:Apache-2.0#Algae Image Recognition#ViT Fine-tuned Model#Medium Accuracy
Downloads 39
Release Time : 2/16/2023

Model Overview

An algae image classification model based on the Vision Transformer architecture, fine-tuned for specific algae recognition tasks.

Model Features

Based on ViT Architecture
Utilizes the Vision Transformer architecture, suitable for image classification tasks.
Fine-tuned Optimization
Fine-tuned on specific datasets, potentially optimized for algae recognition.
Linear Learning Rate Scheduling
Uses a linear learning rate scheduler during training to aid model convergence.

Model Capabilities

Algae Image Classification
Image Feature Extraction

Use Cases

Environmental Monitoring
Algae Identification
Used to identify algae species in water bodies.
Achieved 62.09% accuracy on the evaluation dataset.
Biological Research
Algae Classification Research
Assists researchers in classifying algae for studies.
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