Open-source image classification model vit-base-patch16-224-finetuned-flower

Vit Base Patch16 224 Finetuned Flower

Developed by Barghi

A Vision Transformer model fine-tuned on flower image datasets based on Google's ViT model, suitable for image classification tasks

Downloads 35

Release Time : 3/6/2023

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224 on flower image datasets, primarily used for image classification tasks.

Based on ViT Architecture

Utilizes Vision Transformer architecture with powerful image feature extraction capabilities

Specialized for Flower Images

Specifically fine-tuned for flower image classification tasks

Efficient Training

Uses linear learning rate scheduling and Adam optimizer for efficient training

Image Classification

Flower Recognition

Visual Feature Extraction

Plant Identification

Flower Species Classification

Identify and classify different types of flower images

Educational Applications

Botany Learning Aid

Assist students in identifying and learning about different flower species

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