Vit Base Patch16 224 Finetuned Flower
A vision Transformer model fine-tuned on flower image datasets based on Google's ViT model
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Release Time : 10/4/2022
Model Overview
This model is a fine-tuned version of Google's ViT (Vision Transformer) base model on flower image datasets, suitable for image classification tasks.
Model Features
Transformer-based Vision Model
Utilizes Vision Transformer architecture with self-attention mechanisms for image processing
Specialized for Flower Images
Fine-tuned specifically for flower recognition tasks
Efficient Image Processing
Uses 16x16 patch size and 224x224 input resolution
Model Capabilities
Image Classification
Flower Recognition
Visual Feature Extraction
Use Cases
Plant Identification
Flower Species Classification
Identify and classify different types of flowers
Educational Applications
Botany Teaching Aid
Assist students in recognizing and learning different flower characteristics
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