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Vit Base Patch16 224 Finetuned Algae Wirs
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Vit Base Patch16 224 Finetuned Algae Wirs

Developed by samitizerxu
This model is a vision classification model fine-tuned on an algae dataset based on Google's ViT model, primarily used for algae image classification tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#Algae Identification#ViT Fine-tuning#Environmental Monitoring
Downloads 20
Release Time : 2/14/2023

Model Overview

A vision classification model based on the ViT architecture, fine-tuned on a specific algae dataset, suitable for algae image recognition and analysis tasks.

Model Features

Based on ViT Architecture
Utilizes the Vision Transformer architecture, processing image data with self-attention mechanisms.
Domain-Specific Fine-tuning
Fine-tuned on an algae dataset, optimized for algae image classification tasks.
Medium-Scale Model
Based on the ViT-base architecture, balancing performance and computational resource requirements.

Model Capabilities

Algae Image Classification
Image Feature Extraction

Use Cases

Environmental Monitoring
Algae Population Analysis
Used to identify and classify different algae species in water bodies
Accuracy approximately 60.21%
Water Quality Assessment
Algae Bloom Monitoring
Detects changes in algae density and species in water bodies
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