Poultry Diseases Detection Dataset
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Poultry Diseases Detection Dataset
Datasets
Poultry Diseases Detection Dataset
File
Poultry Diseases Detection
Use Case
Poultry Diseases Detection
Description
Poultry Diseases Detection Dataset featuring high-quality JPEG images categorized into four classes: Coccidiosis, Salmonella, Newcastle disease, and Healthy poultry.
Description:
This dataset is designed for the detection and classification of poultry diseases. It includes images of poultry feces categorized into four classes: Coccidiosis, Salmonella, Newcastle disease, and Healthy poultry. The images are in JPEG format and organized into four separate directories, each representing one class.
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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.
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