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Vit Base Patch16 224 Finetuned Main Gpu 30e Final
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Vit Base Patch16 224 Finetuned Main Gpu 30e Final

Developed by Gokulapriyan
Fine-tuned version based on Google's ViT model, achieving 99.4% validation accuracy on image classification tasks
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#ViT fine-tuned model#Few-shot learning
Downloads 38
Release Time : 3/20/2023

Model Overview

This model is a fine-tuned version of Google's ViT-base-patch16-224 architecture on a custom image dataset, specifically designed for high-precision image classification tasks

Model Features

High-precision image classification
Achieves 99.4% classification accuracy on the validation set
Transformer-based architecture
Uses Vision Transformer architecture, breaking through the limitations of traditional CNNs
End-to-end training
Learns feature representations directly from raw images without manual feature design

Model Capabilities

Image classification
Visual feature extraction
Transfer learning

Use Cases

Computer vision
Industrial quality inspection
Used for automatic product quality detection on production lines
High-precision identification of product defects
Medical image analysis
Assists in medical image classification and diagnosis
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