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Vit Base Patch16 224 Finetuned Flower
A Vision Transformer model fine-tuned on a flower image dataset based on Google's ViT model
Downloads 48
Release Time : 12/19/2022
Model Overview
This model is a fine-tuned version of Google's ViT-base-patch16-224 model for flower image classification tasks, suitable for image classification tasks.
Model Features
Based on ViT Architecture
Adopts the Vision Transformer architecture with powerful image feature extraction capabilities
Flower Image Classification
Specially fine-tuned and optimized for flower image classification tasks
Transfer Learning
Fine-tuned based on a pre-trained model, reducing training time and data requirements
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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