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Plant Identification Vit

Developed by marwaALzaabi
A plant identification model fine-tuned based on Google Vision Transformer (ViT) architecture, achieving 80.96% accuracy on the evaluation set
Downloads 37
Release Time : 11/26/2024

Model Overview

This model is a plant image classification model fine-tuned based on the ViT-Large architecture, suitable for plant species identification tasks

Model Features

High-precision Plant Identification
Achieves 80.96% classification accuracy on the evaluation set
Based on ViT Architecture
Utilizes Vision Transformer architecture with powerful image feature extraction capabilities
Transfer Learning Optimization
Fine-tuned based on a pre-trained ViT model to enhance performance in specific domains

Model Capabilities

Plant Species Identification
Image Classification
Visual Feature Extraction

Use Cases

Agricultural Technology
Wild Plant Identification
Automatically identifies plant species by taking photos
80.96% accuracy
Education & Research
Botany Teaching Aid
Helps students quickly identify plant species
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