AIbase
EN
Home
Vit Base Patch16 224 In21k Finetuned Cifar10 Album Vitvmmrdb Make Model Album Pred
V

Vit Base Patch16 224 In21k Finetuned Cifar10 Album Vitvmmrdb Make Model Album Pred

Developed by venetis
A Vision Transformer (ViT) based model fine-tuned on the CIFAR-10 dataset for image classification tasks
Image Classification
Transformers
Open Source License:Apache-2.0#Image Classification#High Accuracy#ViT Architecture
Downloads 30
Release Time : 11/27/2022

Model Overview

This model is an image classification model based on Google's Vision Transformer (ViT) architecture, fine-tuned on the CIFAR-10 dataset, capable of accurately classifying 10 common object categories.

Model Features

High Accuracy
Achieves 85.72% accuracy on the CIFAR-10 test set
Transformer-based Architecture
Utilizes Vision Transformer (ViT) architecture with self-attention mechanisms for image processing
Small Image Processing
Optimized for 224x224 pixel images

Model Capabilities

Image Classification
Object Recognition
Visual Feature Extraction

Use Cases

Computer Vision
CIFAR-10 Image Classification
Classify 10 object categories in the CIFAR-10 dataset
85.72% accuracy
General Object Recognition
Identify common objects such as airplanes, cars, birds, etc.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase