global_shuter_cam+negatives Computer Vision Project


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Explore Dataset

Here are a few use cases for this project:

  1. "Robotic Vision Training": This model could be used to train robots in distinguishing between different shapes and colors while navigating in defined environments, such as warehouses, factories, or game spaces.

  2. "Game Development": Developers could use the model during game testing to ensure the game's AI accurately recognizes and interacts with different objects present in the virtual world, like Yellow-Cone and Purple-Cube.

  3. "Educational Tools": It could be implemented in educational apps/games that aim to teach children about colors, shapes, and object recognition, adding an interactive element to learning.

  4. "Quality Control in Toy Manufacturing": The model could help in inspecting and sorting toy parts on an assembly line in factories, aiding in recognizing any deformities or inconsistencies in expected shapes and colors.

  5. "Assisted Reality Applications": This model could power vision-based systems like AR glasses, helping identify certain defined objects in the room like a 'Purple-Cube' and interact with them virtually.

Cite This Project

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

                            title = { global_shuter_cam+negatives Dataset },
                            type = { Open Source Dataset },
                            author = { orbit 1690 labeling team },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-07-14 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the global_shuter_cam+negatives project in your project.

Last Updated

9 months ago

Project Type

Object Detection



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CC BY 4.0


Purple-Cube Yellow-Cone