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Vit Base Patch16 224 Finetuned Flower
This model is a fine-tuned vision Transformer based on Google's ViT-base-patch16-224, optimized for flower image classification tasks.
Downloads 18
Release Time : 3/23/2023
Model Overview
This is a fine-tuned vision Transformer model specifically designed for flower image classification. It is based on Google's ViT-base-patch16-224 architecture and optimized on a specific flower dataset.
Model Features
Based on ViT Architecture
Utilizes the Vision Transformer (ViT) architecture, capable of effectively processing image data.
Optimized for Flower Classification
Specially fine-tuned for flower image classification tasks.
Medium Resolution Processing
Supports image input at 224Ã224 pixels.
Model Capabilities
Image Classification
Flower Recognition
Visual Feature Extraction
Use Cases
Plant Identification
Flower Species Identification
Identify the species of flowers in images.
Educational Applications
Botany Teaching Aid
Assist students in identifying different flower species.
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