Animal Image Dataset - Cats, Dogs, and Horse

This comprehensive dataset is designed for image classification tasks, specifically targeting three widely recognized animal categories: Cats, Dogs, and Horses. With a total of 1,763 images distributed across training, validation, and testing subsets, this dataset is ideal for developing and evaluating machine learning models for animal recognition and classification.

• Categories: Cats, Dogs, Horses
• Total Images: 1,763
• Purpose: Enable machine learning practitioners and researchers to train and validate models for animal classification tasks.

This dataset is meticulously structured to support the entire model development lifecycle, from training to testing.

Key Features

1. Diverse Data Distribution: Balanced representation of Cats, Dogs, and Horses across Train, Validation, and Test subsets.
2. Structured Organization: Separate directories for each subset and animal category, ensuring seamless integration with machine learning pipelines.
3. Multi-Purpose Usage:
   • Training Models: Create custom deep learning models for animal classification.
   • Validation: Optimize hyperparameters and evaluate intermediate model performance.
   • Testing: Conduct final model evaluations to measure accuracy and robustness.