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Vit Base Patch16 224 Cifar10
V
Vit Base Patch16 224 Cifar10
Developed by karthiksv
Image classification model based on Vision Transformer architecture, fine-tuned on CIFAR10 dataset
Downloads 31
Release Time : 5/13/2022
Model Overview
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the CIFAR10 dataset for image classification tasks.
Model Features
Based on Vision Transformer architecture
Utilizes advanced Transformer architecture for image data processing
CIFAR10 fine-tuning
Fine-tuned on the standard CIFAR10 dataset
Small-size image processing
Suitable for image classification with 224x224 pixel dimensions
Model Capabilities
Image classification
Multi-category recognition
Use Cases
Computer vision
Object recognition
Recognize 10 common object categories in CIFAR10 dataset
Accuracy 10.04%
Image classification system
Build a ViT-based image classification system
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