Light Fixture Detection Object Detection Dataset and Pre-Trained Model by Anusha Swamy

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Explore Dataset

Here are a few use cases for this project:

Building Maintenance and Planning: The "Light Fixture Detection" model can be used by maintenance or facility management teams to regularly assess the condition and location of light fixtures in a building. It can help identify which type of lights are installed where, aiding in replacement or upgrade planning.
Ventilation System Monitoring: The model is capable of identifying Supply Vent and Return Vent. This can be useful in HVAC systems in order to analyze airflow and improve the overall distribution of conditioned air in the building. It could potentially help predict repairs or upgrades needed.
Smart Lighting Design: By identifying the location and type of light fixtures, this model could serve as a tool for interior designers and architects. They can make adjustments in lighting design, ensuring a balanced and energy-efficient lighting setup.
Energy Management: Energy providers or energy management companies could use the model to gather data for analysis - identifying suitable locations for energy-saving light switches, deciding on energy-efficient lighting solutions, and tracking energy usage in buildings.
Security systems: The model can help in installing surveillance systems within a building, by determining the best positions for cameras to be installed based on lighting conditions and vent positioning to avoid any blind spots.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            light-fixture-detection_dataset,
                            title = { Light Fixture Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Anusha Swamy },
                            howpublished = { \url{ https://universe.roboflow.com/anusha-swamy-rc5fa/light-fixture-detection } },
                            url = { https://universe.roboflow.com/anusha-swamy-rc5fa/light-fixture-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-03 },
                            }