Vit Base Highways 2
A fine-tuned Vision Transformer model based on google/vit-base-patch16-224-in21k, achieving 70% accuracy on an unknown dataset
Downloads 14
Release Time : 11/19/2022
Model Overview
This is an image classification model based on the Vision Transformer architecture, fine-tuned for specific domain image recognition tasks
Model Features
Efficient Image Recognition
Based on Transformer architecture, effectively captures global image features
Transfer Learning Optimization
Fine-tuned on ImageNet-21k pre-trained model to adapt to specific tasks
Medium-scale Model
ViT-base architecture balances performance and computational resource requirements
Model Capabilities
Image Classification
Feature Extraction
Transfer Learning
Use Cases
Computer Vision
General Image Classification
Classify and recognize input images
Achieves 70% accuracy on the evaluation set
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