BirdNet Pipeline on Azure Machine Learning (AML)

Project Overview

The BirdNet Pipeline processes audio recordings to detect bird species using a pre-trained BirdNet model. The pipeline is fully implemented on Azure Machine Learning (AML) and utilizes existing compute clusters, datastores, and environments within the same Azure subscription.

Key Features

• Bird Species Detection: Detects various bird species in audio recordings.
• Phased Execution: Pipeline executes in multiple phases to handle large audio datasets.
• Batch Processing: Efficient audio processing using CPU clusters in Azure.
• Results Storage: Outputs are stored in Azure Blob Storage for easy access.

For detailed instructions, see the following documentation files:

• Setup Instructions
• Pipeline Architecture
• Developer Guidelines
• Troubleshooting
• FAQs