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Vit Base Patch16 224 Finetuned Flower
A visual classification model fine-tuned on flower image datasets based on Google's Vision Transformer (ViT)
Downloads 18
Release Time : 3/13/2023
Model Overview
This model is a fine-tuned version of the pre-trained ViT architecture on flower image datasets, suitable for image classification tasks.
Model Features
ViT-based Architecture
Utilizes Vision Transformer architecture with powerful image feature extraction capabilities
Flower Image Classification
Specially optimized for flower images, suitable for plant identification applications
Transfer Learning
Fine-tuned based on pre-trained models, achieving good results even on small-scale datasets
Model Capabilities
Image Classification
Flower Recognition
Plant Species Identification
Use Cases
Plant Identification
Flower Classification
Identify different types of flower images
Botanical Research Assistance
Help botanists quickly classify plant samples
Educational Applications
Plant Identification APP
Used to develop mobile plant identification applications
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