Vit Base Patch16 224 Finetuned Flower
A vision Transformer model fine-tuned on a flower image dataset based on Google's ViT model
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Release Time : 4/7/2023
Model Overview
This model is a fine-tuned version of Google's ViT-base-patch16-224 model on a flower image dataset, suitable for image classification tasks.
Model Features
Transformer-based Vision Model
Utilizes Vision Transformer architecture, suitable for image processing tasks
Specialized for Flower Images
Specifically fine-tuned for flower image classification tasks
Efficient Training
Trained with relatively small batch size (32) and moderate learning rate (5e-05)
Model Capabilities
Image Classification
Flower Recognition
Use Cases
Plant Recognition
Flower Species Classification
Identify and classify different types of flower images
Educational Applications
Botany Teaching Aid
Assist students in identifying different flower species
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