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Vit Base Cifar10

Developed by simlaharma
Image classification model fine-tuned on CIFAR-10 dataset based on ViT architecture
Image Classification
Transformers
Open Source License:Apache-2.0#ViT fine-tuned model#Small image classification#Low accuracy experiment
Downloads 39
Release Time : 1/4/2023

Model Overview

This model is a Vision Transformer fine-tuned on the CIFAR-10 dataset based on the google/vit-base-patch16-224-in21k pre-trained model, primarily used for image classification tasks.

Model Features

Transformer-based vision model
Adopts Vision Transformer architecture, successfully applying NLP's Transformer to computer vision tasks
CIFAR-10 fine-tuning
Fine-tuned on standard image classification dataset CIFAR-10, suitable for 10-class object recognition tasks

Model Capabilities

Image classification
Object recognition

Use Cases

Computer vision
Basic image classification
Classifies input images into 10 object categories
Achieves 10.6% accuracy on CIFAR-10 test set
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