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Vit Base Patch16 224 Finetuned Flower
A vision Transformer model fine-tuned on flower image datasets based on Google's ViT model
Downloads 35
Release Time : 3/7/2023
Model Overview
This model is based on Google's ViT-base-patch16-224 architecture, fine-tuned on flower image datasets, suitable for image classification tasks.
Model Features
Based on ViT Architecture
Uses Vision Transformer architecture with powerful image feature extraction capabilities
Flower Image Classification
Specifically fine-tuned and optimized for flower images
Efficient Training
Utilizes linear learning rate scheduling and Adam optimizer for efficient training
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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