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Vit Base Patch16 224 Finetuned Flower2
A vision Transformer model fine-tuned on a flower image dataset based on Google's ViT model, suitable for image classification tasks.
Downloads 34
Release Time : 3/10/2023
Model Overview
This model is a fine-tuned version of google/vit-base-patch16-224 on an image folder dataset, primarily used for flower 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.
Lightweight Model
Designed based on patch16-224 for lightweight performance, suitable for resource-limited environments.
Model Capabilities
Image Classification
Flower Recognition
Visual Feature Extraction
Use Cases
Agriculture and Botany
Flower Species Identification
Used to identify different species of flowering plants
Education
Botany Teaching Aid
Helps students identify and learn about different flower species
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