Lego_V2 Object Detection Dataset and Pre-Trained Model by Jian Wu

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Explore Dataset

Here are a few use cases for this project:

Inventory Management: This model can be used to classify and keep track of different Lego pieces in a retail or a distribution center environment, helping to automate inventory management, and rapidly identify any shortages or surpluses in particular Lego classes.
Augmented Reality Games: The model can be implemented into an Augmented Reality(AR) game, where players are required to find or use specific Lego classes. The model would identify the required Lego piece when it is shown to the camera.
Sorting Robots: Autonomous robots could be programmed with the model to sort Lego bricks by their types in production factories or during the recycling process, improving efficiency and accuracy of the sorting process.
Education: The model can be used in educational settings to teach children about different shapes and sizes using Lego bricks. It can classify and name each Lego brick as a child presents it to the camera, offering an interactive and engaging learning model.
Personal Collection Management: For Lego hobbyists and collectors who have large collections, this model can be useful to identify and catalog their pieces, helping them with organization and identifying missing pieces for specific projects or sets.

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{ lego_v2-okhke_dataset,
    title = { Lego_V2 Dataset },
    type = { Open Source Dataset },
    author = { Jian Wu },
    howpublished = { \url{ https://universe.roboflow.com/jian-wu-runoz/lego_v2-okhke } },
    url = { https://universe.roboflow.com/jian-wu-runoz/lego_v2-okhke },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { apr },
    note = { visited on 2023-12-10 },
}