What is the Poultry Diseases Detection Dataset?

It is a dataset containing high-quality JPEG images of poultry, categorized into Coccidiosis, Salmonella, Newcastle disease, and Healthy classes, designed for AI/ML disease detection applications.

How can this dataset be used in AI and machine learning?

The dataset can train computer vision models for poultry disease detection, assist veterinarians in diagnostics, support agricultural AI research, and enhance automated health monitoring systems.

Does the dataset include diverse poultry types and conditions?

Yes. It covers multiple poultry conditions across different ages and health states to ensure AI models learn to generalize across real-world scenarios.

What annotation and delivery formats are provided?

GTS provides labeled images with metadata in JSON format, securely delivered along with JPEG files, and validated through human quality control.

Is the dataset compliant with privacy and industry standards?

Yes. The dataset is managed under GDPR compliance and ISO 9001:2015 / ISO 27001:2013 certifications, ensuring secure and high-quality dataset delivery.

Poultry Diseases Detection Dataset

Home » Dataset Download » Poultry Diseases Detection Dataset

Poultry Diseases Detection Dataset

Datasets

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.

Download 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.

Contact Us

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

Poultry Diseases Detection Dataset