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Vit Base Patch16 224 Finetuned Flower
V
Vit Base Patch16 224 Finetuned Flower
Developed by CHAOYUYD
A Vision Transformer model fine-tuned on a flower image dataset, based on Google's ViT model
Downloads 35
Release Time : 3/17/2023
Model Overview
This model is based on the Google ViT-base-patch16-224 architecture, fine-tuned for flower image classification tasks. Suitable for image classification, especially flower recognition.
Model Features
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Flower Image Classification
Specifically fine-tuned for flower image classification tasks
Transfer Learning
Fine-tuned from a pre-trained model, saving training time and computational resources
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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