LeafCondition Open-source Vision Model - Free Deployment for Precise Identification and Analysis of Plant Leaf Health Conditions

Leafcondition

Developed by OttoYu

A visual model for plant leaf condition classification, capable of accurately identifying and analyzing the health status of plant leaves.

Downloads 16

Release Time : 3/24/2023

Model Overview

This model is primarily used for plant leaf condition classification tasks, helping to identify whether leaves are healthy or have specific issues.

High Accuracy

The model achieved an accuracy of 1.000 on the validation set, demonstrating excellent performance.

Comprehensive Evaluation Metrics

Provides multiple evaluation metrics including F1 score, precision, and recall to comprehensively measure model performance.

Environmentally Friendly

The model's training process resulted in low CO2 equivalent emissions (0.427), making it relatively eco-friendly.

Plant Leaf Condition Classification

Image Feature Extraction

Health Status Identification

Agriculture

Crop Health Monitoring

Automatically detect the health status of crop leaves in the field

Accurately identifies leaf issues, helping farmers take timely measures

Horticulture

Plant Disease Diagnosis

Identify disease conditions in ornamental plant leaves

Assists horticulturists in precise treatment

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