V

Vit Base Patch16 224 In21k Lcbsi

Developed by polejowska
A fine-tuned model based on Google Vision Transformer (ViT) architecture, suitable for image classification tasks
Downloads 33
Release Time : 12/14/2022

Model Overview

This model is a fine-tuned version based on google/vit-base-patch16-224-in21k, primarily used for image classification tasks, achieving 98.53% accuracy on the evaluation set

Model Features

High accuracy
Achieved 98.53% classification accuracy on the evaluation set
Based on ViT architecture
Utilizes Vision Transformer architecture with self-attention mechanisms for image processing
Pre-trained model fine-tuning
Fine-tuned based on the google/vit-base-patch16-224-in21k pre-trained model

Model Capabilities

Image classification
Visual feature extraction

Use Cases

Computer vision
General image classification
Classify and recognize input images
Evaluation accuracy 98.53%
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