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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, suitable for image classification tasks
Downloads 17
Release Time : 3/4/2023
Model Overview
This model is a fine-tuned version of google/vit-base-patch16-224 on a flower image dataset, primarily used for flower image classification and recognition tasks.
Model Features
Based on ViT Architecture
Utilizes Vision Transformer architecture with powerful image feature extraction capabilities
Specialized for Flower Images
Fine-tuned specifically for flower images, performing well on flower classification tasks
Efficient Training
Trained with relatively small batch size (32) and moderate learning rate (5e-05)
Model Capabilities
Image Classification
Flower Recognition
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 varieties
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