AIbase
EN
Home
Plant Vit Model 1
P

Plant Vit Model 1

Developed by Carina124
A plant image classification model based on the ViT architecture, achieving 99.95% validation accuracy after fine-tuning on an unknown dataset
Image Classification
Transformers
Open Source License:Apache-2.0#Plant Image Classification#High-precision Recognition#ViT Fine-tuned Model
Downloads 89
Release Time : 5/22/2023

Model Overview

This model is a fine-tuned Vision Transformer based on Google's ViT-base-patch16-224-in21k pre-trained model, suitable for plant image classification tasks

Model Features

High Accuracy
Achieves 99.95% classification accuracy on the validation set
ViT-based Architecture
Utilizes Vision Transformer architecture with powerful image feature extraction capabilities
Transfer Learning
Fine-tuned from a pre-trained model, suitable for small-scale datasets

Model Capabilities

Plant Image Classification
Image Feature Extraction
Transfer Learning

Use Cases

Agricultural Technology
Plant Species Identification
Automatically identifies different plant species
Accuracy up to 99.95%
Plant Health Monitoring
Analyzes plant health conditions through images
Ecological Research
Biodiversity Survey
Automatically identifies wild plant species
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase