Data annotate Computer Vision Project

NecleusAIPublic

Updated 3 years ago

327

views

13

downloads
Description

Here are a few use cases for this project:

  1. Historical Weapon Classification: This computer vision model can be utilized by historians, archeologists, and museum curators to classify and catalog historical weapons and artifacts, including swords, arrows, guns, and knives, enabling them to better understand and contextualize the weapons' origins and usage throughout history.

  2. Video Game Asset Management: Game developers can use the Data Annotate model to automatically tag and categorize in-game assets, such as weapons and visual effects, to streamline their development process and more easily manage game content.

  3. Prop and Costume Design: The model can aid prop and costume designers in the film, theater, and cosplay industries by identifying and categorizing various weapons and related items, allowing them to find suitable props or inspirations for their designs more quickly.

  4. Law Enforcement and Security: Data Annotate can be used by law enforcement agencies and security personnel to effectively detect weapons in surveillance footage or images, enabling them to respond more quickly to potential threats and uphold public safety.

  5. Educational Applications: Teachers and educators can use the model to develop interactive and engaging learning materials in the fields of history, art, and technology. It can help students identify and understand the significance of various weapons and their roles in shaping human history and culture.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
MIT

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

                        @misc{
                            data-annotate-ojqb1_dataset,
                            title = { Data annotate Dataset },
                            type = { Open Source Dataset },
                            author = { NecleusAIPublic },
                            howpublished = { \url{ https://universe.roboflow.com/necleusaipublic/data-annotate-ojqb1 } },
                            url = { https://universe.roboflow.com/necleusaipublic/data-annotate-ojqb1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-11-17 },
                            }
                        
                    

Similar Projects

See More