D

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.

Model Features

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

Model Capabilities

Image Classification
Feature Extraction

Use Cases

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
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase