Poultry Diseases Detection Dataset

Dataset Structure:

• Coccidiosis: Images showing symptoms of Coccidiosis in poultry.
• Salmonella: Images showing symptoms of Salmonella infection.
• Newcastle Disease: Images depicting Newcastle disease.
• Healthy Poultry: Images of healthy poultry feces.

Details:

• Format: JPEG images
• Classes: 4 (Coccidiosis, Salmonella, Newcastle disease, Healthy)
• Usage: Ideal for training machine learning models to identify and classify poultry diseases based on fecal images.

Applications:

• Veterinary Diagnostics: Aid in automated disease detection in poultry farms.
• Research: Support studies in veterinary medicine and animal husbandry.
• AI Development: Enhance the development of robust AI models for disease detection.

Benefits:

• Accuracy: High-quality annotated images ensure reliable training data.
• Versatility: Suitable for various machine learning frameworks and algorithms.
• Scalability: Can be used for both small-scale studies and large-scale industrial applications.

This dataset is sourced from Kaggle.