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Beit Base Patch16 224 Pt22k Ft22k Plant Seedling Classification
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Beit Base Patch16 224 Pt22k Ft22k Plant Seedling Classification

Developed by uisikdag
Plant seedling classification model based on BEiT architecture, fine-tuned on a balanced dataset with 96% test accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Plant seedling recognition#Agricultural AI applications
Downloads 17
Release Time : 3/8/2023

Model Overview

This model is designed for plant seedling image classification tasks, fine-tuned from Microsoft's BEiT base model, suitable for agricultural weed recognition scenarios

Model Features

High-precision classification
Achieves 96% accuracy on test sets, suitable for precise recognition tasks
Balanced dataset training
Trained with 250 images per class to avoid category bias
Transfer learning optimization
Fine-tuned from pre-trained BEiT model to enhance few-shot learning performance

Model Capabilities

Plant seedling image classification
Agricultural weed recognition
Image feature extraction

Use Cases

Precision agriculture
Automatic field weed recognition
Automatically identifies weed species in crop fields
96% accurate weed classification
Crop growth monitoring
Distinguishes seedlings at different growth stages
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