Airplane Image Classification Dataset

Dataset Structure and Classes

The dataset is well-organized into directories, each dedicated to a specific airplane model. The 10 unique airplane types included are:

1. A10
2. A400M
3. AG600
4. AH64
5. AV8B
6. An124
7. An22
8. An225
9. An72
10. B1

Each folder contains multiple images of its respective airplane, ensuring ample training data for your machine learning tasks.

Key Dataset Features

• Total Images: 3,371 airplane images
• 10 Airplane Classes: Diverse models for multi-class classification tasks
• Quality: High-resolution images, resized for uniformity and machine learning compatibility
• Balanced Distribution: The dataset is designed with a balanced number of images across each class, promoting fair training for machine learning models.
• Organized Structure: Images are neatly categorized into class-specific directories for quick access.

Ideal Use Cases

This dataset is perfect for:

• Airplane Type Classification: Train models to recognize and classify different airplane types.
• Deep Learning Training: Use it to build and train advanced models like Convolutional Neural Networks (CNNs).
• Image Recognition: Leverage it for various image recognition tasks, including object detection and segmentation.

Applications

You can use this dataset to:

• Develop Airplane Recognition Models: Enhance accuracy in identifying airplane models in images.
• Build Transportation and Aviation Systems: Integrate the dataset into transportation and aviation-related research projects.
• Train CNN Models: Utilize the dataset for CNN training in multi-class image classification tasks.