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Vit Base Patch16 224 In21k Finetuned Eurosat
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Vit Base Patch16 224 In21k Finetuned Eurosat

Developed by Chandanab
An image classification model based on the ViT architecture, fine-tuned on the image_folder dataset with an accuracy of 90.17%
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Remote sensing image recognition#ViT architecture
Downloads 16
Release Time : 8/9/2022

Model Overview

This model is a fine-tuned version of Google's base ViT model on a specific image dataset, primarily used for image classification tasks

Model Features

High Accuracy
Achieves a classification accuracy of 90.17% on the evaluation set
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Transfer Learning
Fine-tuned based on a pre-trained model, suitable for image classification tasks in specific domains

Model Capabilities

Image classification
Feature extraction

Use Cases

Remote Sensing Image Analysis
Satellite Image Classification
Can be used for automatic classification of satellite images
Accuracy 90.17%
General Image Recognition
Object Recognition
Can be used to identify object categories in images
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