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Browse files# Aircraft Classifier
This repository contains a pre-trained PyTorch model for classifying aircraft types based on images. The model file `aircraft_classifier.pth` can be downloaded and used to classify images of various aircraft models.
## Model Overview
The `aircraft_classifier.pth` file is a PyTorch model trained on a dataset of aircraft images. It achieves a test accuracy of **75.26%** on the FGVC Aircraft test dataset, making it a reliable choice for identifying aircraft types. The model is designed to be lightweight and efficient for real-time applications.
## Requirements
- **Python** 3.7 or higher
- **PyTorch** 1.8 or higher
- **torchvision** (for loading and preprocessing images)
## Usage
1. Clone this repository and install dependencies.
```bash
git clone <repository-url>
cd <repository-folder>
pip install torch torchvision
```
2. Load and use the model in your Python script:
```python
import torch
from torchvision import transforms
from PIL import Image
# Load the model
model = torch.load('aircraft_classifier.pth')
model.eval() # Set to evaluation mode
# Load and preprocess the image
transform = transforms.Compose([
transforms.Resize((224, 224)),
transforms.ToTensor(),
])
img = Image.open('path_to_image.jpg')
img = transform(img).view(1, 3, 224, 224) # Reshape to (1, 3, 224, 224) for batch processing
# Predict
with torch.no_grad():
output = model(img)
_, predicted = torch.max(output, 1)
print("Predicted Aircraft Type:", predicted.item())