CNN-based Poultry Disease Detection Internship - Image Annotation
OtherImageClassification
In this role, I contributed to developing a convolutional neural network-based disease detection system for poultry by classifying images of diseased and healthy chickens. I annotated and classified real-time poultry images for diseases such as Coccidiosis, Newcastle, and Salmonella. The process combined real-time image data labeling with the integration of educational resources for end users.
• Performed manual labeling of poultry images for disease classification.
• Utilized Python and TensorFlow for data preprocessing and annotation workflow.
• Supported the training and validation of the image classification model.
• Ensured annotation quality through iterative feedback and model performance review.
In this role, I contributed to developing a convolutional neural network-based disease detection system for poultry by classifying images of diseased and healthy chickens. I annotated and classified real-time poultry images for diseases such as Coccidiosis, Newcastle, and Salmonella. The process combined real-time image data labeling with the integration of educational resources for end users. • Performed manual labeling of poultry images for disease classification. • Utilized Python and TensorFlow for data preprocessing and annotation workflow. • Supported the training and validation of the image classification model. • Ensured annotation quality through iterative feedback and model performance review.
2025 - 2025