cheeeel Object Detection Dataset and Pre-Trained Model by chel

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Explore Dataset

Here are a few use cases for this project:

Military Training: The model can be used for simulations or real-time feedback during training exercises. By identifying different soldier classes, it can help ensure correct tactics and positioning, therefore enhancing the effectiveness of training.
Video Game Design: In a military-themed video game, the "cheeeel" model can be used to enhance the gaming environment by accurately identifying and mapping different soldier classes.
Military Equipment Testing: The model could be used to test how well military equipment such as drones or surveillance systems can identify various soldier classes in the field.
Documentaries & Film Making: For directors working on military-themed content, this computer vision model can assist in post-production for special effects. It can accurately identify and differentiate between different soldier classes for proper character portrayal.
Security & Surveillance: This model can be used to enhance the intelligence of surveillance cameras and systems in military facilities, helping to accurately identify and categorize personnel.

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{
                            cheeeel_dataset,
                            title = { cheeeel Dataset },
                            type = { Open Source Dataset },
                            author = { chel },
                            howpublished = { \url{ https://universe.roboflow.com/chel/cheeeel } },
                            url = { https://universe.roboflow.com/chel/cheeeel },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-29 },
                            }