HIIT Object Detection Dataset and Pre-Trained Model by public haris

Images

2666 images

Explore Dataset

Here are a few use cases for this project:

Military Training and Simulation: The HIIT computer vision model could be used in building complex military training simulations. It could identify existing soldiers, humans, or tanks to generate real-time responses or feedback during virtual exercises.
Security Surveillance: In areas of high security or conflict zones, the model could detect the presence of tanks and soldiers, helping in threat assessment and improving decision time for security forces.
Content Filtering: For platforms hosting user-generated content, the model could be used to automatically detect and filter out images or videos containing military content, ensuring compliance with their policies or local laws.
Historical Analysis: Historians and researchers can use this to identify tanks and soldiers in historical archive footage or images, assisting in the identification and classification of military assets or personnel over time.
Video Game Development: The model could help in automating and enhancing the realism of NPC (Non-Player Character) interactions and responses in a game environment where tanks and soldiers might be encountered.

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{
                            hiit_dataset,
                            title = { HIIT Dataset },
                            type = { Open Source Dataset },
                            author = { public haris },
                            howpublished = { \url{ https://universe.roboflow.com/public-haris/hiit } },
                            url = { https://universe.roboflow.com/public-haris/hiit },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-05-08 },
                            }