hat_symbol_rl-co_type_only- Object Detection Dataset and Pre-Trained Model by hat symbol

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Explore Dataset

Here are a few use cases for this project:

Workplace Safety Compliance: The model can be used to ensure that employees in workplaces such as construction sites or power plants are wearing the appropriate safety hats, as denoted by the different hat-symbol classes.
Clothing Retail Personalization: E-commerce platforms could utilize the model to provide personalized recommendations based on the user's visual preference for a certain type of hat (as per the classified hat symbol).
Automated Image Categorization: In stock photo libraries or social media platforms, this model could be useful in automatically tagging or categorizing images based on the type of hat symbol featured, thereby enhancing searchability.
Gaming and Entertainment: The model could be integrated into interactive games or applications, allowing users to modify their virtual avatar based on recognized hat-symbol classes, adding another level of customization.
Augmented Reality Trials: Fashion retailers or hat manufacturers may use the model in an augmented reality setting, letting customers virtually try on different types of hats annotated by the model, aiding in online shopping decisions.

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{
                            hat_symbol_rl-co_type_only_dataset,
                            title = { hat_symbol_rl-co_type_only- Dataset },
                            type = { Open Source Dataset },
                            author = { hat symbol },
                            howpublished = { \url{ https://universe.roboflow.com/hat-symbol/hat_symbol_rl-co_type_only } },
                            url = { https://universe.roboflow.com/hat-symbol/hat_symbol_rl-co_type_only },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-07-27 },
                            }