V

Vit Base Patch16 224 Finetuned Flower

Developed by adamtky
A Vision Transformer model fine-tuned on a flower image dataset based on Google's ViT-Base-Patch16-224 model
Downloads 15
Release Time : 4/10/2023

Model Overview

This model is specifically fine-tuned for flower recognition tasks, suitable for plant classification and image recognition applications

Model Features

Specialized Flower Recognition
Classification capability optimized for flower images
Efficient Transformer Architecture
Modern visual processing architecture based on Vision Transformer
Lightweight Fine-tuning
Targeted fine-tuning on the base model to improve specific task performance while maintaining efficiency

Model Capabilities

Flower image classification
Plant species identification
Image feature extraction

Use Cases

Botany
Automatic Flower Classification
Automatically identify and classify different types of flowers
Education
Plant Identification Teaching Tool
Help students identify and learn about different plant species
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