V

Vit Base Patch16 224 Finetuned Flower

Developed by ahmedghali
A vision Transformer model fine-tuned on a flower image dataset based on Google's ViT model
Downloads 15
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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