V

Vit Base Patch16 224 Finetuned Flower

Developed by jon-fernandes
A vision Transformer model fine-tuned on flower image datasets based on Google's ViT model
Downloads 14
Release Time : 10/4/2022

Model Overview

This model is a fine-tuned version of Google's ViT (Vision Transformer) base model on flower image datasets, suitable for image classification tasks.

Model Features

Transformer-based Vision Model
Utilizes Vision Transformer architecture with self-attention mechanisms for image processing
Specialized for Flower Images
Fine-tuned specifically for flower recognition tasks
Efficient Image Processing
Uses 16x16 patch size and 224x224 input resolution

Model Capabilities

Image Classification
Flower Recognition
Visual Feature Extraction

Use Cases

Plant Identification
Flower Species Classification
Identify and classify different types of flowers
Educational Applications
Botany Teaching Aid
Assist students in recognizing and learning different flower characteristics
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