Open-source image classification model for dataset_model - Free fine-tuning for image folder dataset classification applications

Dataset Model

Developed by Farideh

An image classification model based on ViT architecture, fine-tuned on an image folder dataset

Downloads 30

Release Time : 12/2/2022

Model Overview

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

Based on ViT Architecture

Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities

Efficient Fine-tuning

Fine-tuned on a pre-trained model, saving training resources

High Accuracy

Achieves 86.47% accuracy on the evaluation dataset

Image Classification

Feature Extraction

Computer Vision

General Image Classification

Classifies common objects and scenes

Evaluation accuracy of 86.47%

Customized Image Recognition

Can be fine-tuned for specific requirements

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