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Convnext Tiny Finetuned Beans
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Convnext Tiny Finetuned Beans

Developed by mrm8488
This model is an image classification model fine-tuned on the beans dataset based on the ConvNeXt-Tiny architecture, achieving an accuracy of 96.09%.
Image Classification
Transformers
Open Source License:Apache-2.0#Plant Disease Identification#High-precision Classification#Agricultural Image Analysis
Downloads 15
Release Time : 4/25/2022

Model Overview

This is a computer vision model for classifying diseases in bean plants, capable of accurately identifying different types of diseases on bean leaves.

Model Features

High Accuracy
Achieves a classification accuracy of 96.09% on the beans test set.
Lightweight Architecture
Based on the ConvNeXt-Tiny architecture, suitable for deployment in resource-constrained environments.
Transfer Learning
Fine-tuned on the facebook/convnext-tiny-224 pre-trained model.

Model Capabilities

Image Classification
Plant Disease Identification
Agricultural Image Analysis

Use Cases

Agricultural Technology
Bean Disease Diagnosis
Automatically identifies disease types on bean leaves.
Accuracy: 96.09%
Agricultural Monitoring
Used in farmland disease monitoring systems.
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