Alpaca Dataset Image Classification

Context

This small dataset is perfect for educational purposes, initial model testing, and developing proof-of-concept applications in image classification. Due to its limited size, it is most beneficial when used in conjunction with transfer learning to leverage pre-trained models for improved accuracy.

Content

The dataset is organized into two primary directories:

1. Alpaca: Contains images that include alpacas.
2. Not Alpaca: Contains images without alpacas, featuring subjects that may resemble alpacas but are not.

Additional Information

• Format: All images are in JPEG format, ensuring compatibility with a wide range of image processing libraries and tools.
• Usage: This dataset can be utilized in various machine learning frameworks such as TensorFlow, PyTorch, and Keras for building and testing classification models.
• Applications: Potential applications include animal recognition systems, educational tools, and development of AI-driven content moderation systems.

Data Statistics

• Total Images: X (Number of images in the dataset)
• Alpaca Images: Y (Number of images in the Alpaca directory)
• Not Alpaca Images: Z (Number of images in the Not Alpaca directory)
• Image Resolution: Varies, with most images having a resolution suitable for quick model training and evaluation.