AIbase
EN
Home
Medicinal Plants Image Detection
M

Medicinal Plants Image Detection

Developed by dima806
A Vision Transformer (ViT)-based image classification model for Indian medicinal plant leaves, capable of accurately identifying over 50 types of traditional Indian medicinal plants.
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision Plant Classification#Medicinal Plant Identification#ViT Vision Transformer
Downloads 627
Release Time : 9/18/2023

Model Overview

This model uses google/vit-base-patch16-224-in21k as the base model and achieves high-precision classification of Indian medicinal plant leaf images through fine-tuning, attaining an overall accuracy of 99.62% on a test set of 6,012 images.

Model Features

High-Precision Identification
Achieves an overall accuracy of 99.62% in classifying over 50 types of Indian medicinal plants
ViT-Based Architecture
Utilizes the Vision Transformer architecture to effectively capture global features of leaf images
Wide Coverage
Supports identification of over 50 traditional Indian medicinal plants, including Phyllanthus emblica, curry leaves, and Saraca asoca

Model Capabilities

Leaf Image Classification
Medicinal Plant Identification
High-Precision Image Analysis

Use Cases

Traditional Medicine
Medicinal Plant Identification
Assists traditional medicine practitioners in quickly and accurately identifying medicinal plant species
Achieves 99.62% accuracy on the test set
Education & Research
Botany Teaching Aid
Used in botany education to help students learn about traditional Indian medicinal plants
Covers over 50 common medicinal plants
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