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Vit Base Patch16 224 Finetuned Eurosat
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Vit Base Patch16 224 Finetuned Eurosat

Developed by zzzzzzttt
A fine-tuned version of Google's ViT model on an image folder dataset for image classification tasks, achieving an accuracy of 90.72%.
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#ViT fine-tuned model#Remote sensing image processing
Downloads 31
Release Time : 5/6/2022

Model Overview

This model is a fine-tuned version of Google's ViT-base-patch16-224 model on an image folder dataset, primarily used for image classification tasks. It achieved an accuracy of 90.72% on the evaluation set.

Model Features

High Accuracy
Achieved an accuracy of 90.72% on the evaluation set, demonstrating excellent performance.
Based on ViT Architecture
Utilizes the Vision Transformer (ViT) architecture, which has strong image processing capabilities.
Fine-tuning Optimization
Fine-tuned meticulously on an image folder dataset to meet specific task requirements.

Model Capabilities

Image classification
Visual feature extraction

Use Cases

Remote sensing image analysis
Satellite image classification
Used for classifying satellite images to identify different types of terrain.
Accuracy 90.72%
General image classification
Object recognition
Can be used to recognize different object categories in images.
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