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Vit Finetuned Vanilla Cifar10 0
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Vit Finetuned Vanilla Cifar10 0

Developed by 02shanky
An image classification model fine-tuned on the CIFAR-10 dataset based on the Vision Transformer (ViT) architecture, achieving 99.2% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#CIFAR10 fine-tuning#ViT architecture
Downloads 68
Release Time : 10/27/2023

Model Overview

This model is an image classification model fine-tuned on the CIFAR-10 dataset based on the ViT architecture, specifically designed for 10-class image classification tasks.

Model Features

High accuracy
Achieves 99.2% classification accuracy on the CIFAR-10 test set
Based on ViT architecture
Uses the Vision Transformer architecture, suitable for processing image data
Lightweight fine-tuning
Lightweight fine-tuning based on a pre-trained model with high training efficiency

Model Capabilities

Image classification
10-class object recognition

Use Cases

Computer vision
CIFAR-10 image classification
Accurately classifies 10-class objects in the CIFAR-10 dataset
99.2% test accuracy
Educational demonstration
Used for teaching demonstrations of Transformer architecture in visual tasks
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