Vit-base-patch16-224-in21k-euroSat Open Source Image Classification Model

Vit Base Patch16 224 In21k Eurosat

Developed by YKXBCi

This model is a fine-tuned Vision Transformer based on google/vit-base-patch16-224-in21k on an unknown dataset, primarily used for image classification tasks.

Image Classification

Transformers

Open Source License:Apache-2.0 #High-precision image classification #EuroSAT dataset #ViT architecture

Downloads 23

Release Time : 4/15/2022

Model Overview

This is an image classification model based on the Vision Transformer architecture, fine-tuned to perform exceptionally well on the EuroSat dataset.

Model Features

High accuracy

Achieves 98.39% accuracy on the validation set and 100% Top-3 accuracy

Pre-trained model based

Fine-tuned from the google/vit-base-patch16-224-in21k pre-trained model

Efficient training

Requires only 3 epochs of training to achieve excellent performance

Model Capabilities

Image classification

Multi-class recognition

Use Cases

Remote sensing image analysis

Satellite image classification

Classify satellite images in the EuroSat dataset

Achieves 98.39% classification accuracy

Geographic information systems

Land use classification

Identify different land cover types

Train Loss	Train Accuracy	Train Top - 3 - accuracy	Validation Loss	Validation Accuracy	Validation Top - 3 - accuracy	Epoch
0.4593	0.9478	0.9912	0.1558	0.9809	0.9995	0
0.1008	0.9876	0.9997	0.0855	0.9856	1.0	1
0.0495	0.9948	0.9999	0.0782	0.9839	1.0	2

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Vit Base Patch16 224 In21k Eurosat

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 YKXBCi/vit-base-patch16-224-in21k-euroSat

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