This page showcases images processed by a serverless pipeline designed to detect humans using Azure AI Vision. Each image displays the detected bounding boxes and confidence scores, providing a visual assessment of the AI model's performance.
This project was created as an assignment for the Advanced Python course within the Data Science program at EC Utbildning. It demonstrates a complete end-to-end serverless AI pipeline. The solution uses Python and Azure Functions to automatically process images uploaded to cloud storage, perform AI-based human detection, and store the results for further data analysis and visualization.
You can view the full source code and project documentation on GitHub
The images used for this analysis are from the Human Detection Dataset dataset, available from Kaggle. The dataset is used here for educational and demonstration purposes only.