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Deepweeds

Developed by feisarx86
Image classification model fine-tuned based on google/vit-base-patch16-224-in21k, suitable for plant classification tasks
Downloads 24
Release Time : 8/15/2023

Model Overview

This model is a Vision Transformer migrated from TensorFlow to PyTorch, specifically designed for plant image classification. Fine-tuned based on a pre-trained ViT model, it is suitable for domain-specific image recognition tasks.

Model Features

Based on ViT Architecture
Utilizes Vision Transformer architecture with powerful image feature extraction capabilities
Transfer Learning
Fine-tuned based on pre-trained models to adapt to domain-specific image classification tasks
Efficient Training
Employs linear learning rate scheduling and Adam optimizer for high training efficiency

Model Capabilities

Plant Image Classification
Image Feature Extraction
Transfer Learning Applications

Use Cases

Agricultural Technology
Weed Recognition
Identify weed species in farmland
Plant Classification
Classify and identify specific plant species
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