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Vit Base Patch16 224 Finetuned Flower
A vision classification model fine-tuned on flower image datasets based on Google's ViT model
Downloads 30
Release Time : 10/18/2022
Model Overview
This model is based on the Google ViT-base-patch16-224 architecture, fine-tuned on flower image datasets, suitable for flower recognition tasks.
Model Features
ViT-based Architecture
Utilizes Vision Transformer architecture with powerful image feature extraction capabilities
Flower Recognition Optimization
Specifically fine-tuned for flower image data, performing well on flower classification tasks
Medium Resolution Processing
Supports image input at 224Ã224 pixel resolution
Model Capabilities
Image Classification
Flower Recognition
Visual Feature Extraction
Use Cases
Plant Identification
Flower Species Identification
Identify flower species in photos
Educational Applications
Botany Teaching Aid
Assist students in identifying different flower varieties
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