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Vit Base Patch16 224 Finetuned Algae Rgb
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Vit Base Patch16 224 Finetuned Algae Rgb

Developed by samitizerxu
A fine-tuned model based on Google's Vision Transformer (ViT) architecture, specifically designed for algae image classification tasks
Image Classification
Transformers
Open Source License:Apache-2.0#Algae Image Classification#ViT Fine-tuned Model#RGB Image Analysis
Downloads 39
Release Time : 2/14/2023

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224, primarily used for algae image classification tasks in RGB format.

Model Features

Based on ViT Architecture
Utilizes the Vision Transformer architecture, leveraging self-attention mechanisms for image data processing
Optimized for Algae Image Classification
Specifically fine-tuned for algae RGB images, suitable for related research fields
Medium-Scale Model
Based on the ViT-Base architecture, balancing performance and computational resource requirements

Model Capabilities

Algae Image Classification
RGB Image Processing
Image Feature Extraction

Use Cases

Environmental Monitoring
Algae Identification and Classification
Used for algae identification and classification in water environment monitoring
Validation set accuracy 61.74%
Biological Research
Algae Sample Analysis
Assists researchers in quickly classifying and analyzing different algae samples
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