🏙️ BLIP Image Captioning for Municipality Use (Graduation Project)

🎓 Graduation Project Information

• Project Title: Smart Captioning for Urban Monitoring Using AI
• Purpose: This model aims to assist municipalities in automatically generating descriptive captions for street and infrastructure images using AI.

🧠 Model Overview

• Base Model: Salesforce/blip-image-captioning-base
• Architecture: BLIP (Bootstrapped Language Image Pretraining)
• Task: Image Captioning (with a focus on municipality-related data)

🏙️ Dataset

⚠️ The dataset is not publicly released due to privacy and data ownership considerations.

✅ Intended Use

• Generating captions for street-level and city infrastructure images.
• Assisting municipalities in monitoring, analyzing, and documenting visual data.

❌ Limitations

• May not generalize well to domains outside of urban/street imagery.
• Captions might be biased by the dataset or lack context in unfamiliar scenes.
• Does not include object detection – focuses on captioning only.

📜 License

• This model is released under the MIT License.
• It is based on the Salesforce BLIP model, which is licensed under the BSD-3-Clause License.
• Please ensure appropriate credit is given to the original authors when using or redistributing this model.

🤝 Acknowledgements

• Special thanks to Salesforce Research for the original BLIP model.
• Developed as part of a university graduation project with guidance from faculty members.