RGB LED panel Object Detection Dataset and Pre-Trained Model by UCSD Object Detection

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Explore Dataset

Here are a few use cases for this project:

LED Panel Manufacturing Quality Assurance: This computer vision model could be used in the process of LED panel manufacturing. It can accurately spot and categorize RGB LED panels based on their color, making it an efficient tool for quality control and spotting any manufacturing or labeling errors.
Cinematography and Stage Lighting Control: The model can be utilized in cinemas or theatre productions to analyze current lighting settings of the stage, and provide real-time feedback. This enables a more efficient way to manage and adjust lighting conditions during live performances or movie production.
Smart Home Automation: The RGB LED panel detector could feature in home automation systems. It can help in making lighting conditions adaptable to the user preferences by identifying the LED Panel types and colors in a smart home setup.
Art and Light Installations: Artists or designers who work with LED lights for illuminations and art installations could use the RGB LED panel identification to monitor and control the light displays, ensuring that the correct LED panel is activated or transitioned at the right time.
Retail and Logistics Management: In retail and logistics, accurate classification of LED Panels can be helpful for better inventory management of different types of LED panels, guiding sorting and shelving, and preventing potential misplacement of items.

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{
                            rgb-led-panel_dataset,
                            title = { RGB LED panel Dataset },
                            type = { Open Source Dataset },
                            author = { UCSD Object Detection },
                            howpublished = { \url{ https://universe.roboflow.com/ucsd-object-detection/rgb-led-panel } },
                            url = { https://universe.roboflow.com/ucsd-object-detection/rgb-led-panel },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-19 },
                            }