MonumentsMar Object Detection Dataset and Pre-Trained Model by fac

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Explore Dataset

Here are a few use cases for this project:

Tourism and Travel Apps: Integrate MonumentsMar into travel and tourism apps to help users identify the monuments they encounter during their trips to Morocco. This feature can also provide relevant historical and cultural information about the sites, enhancing the overall travel experience.
Educational Learning Tools: Use MonumentsMar in educational contexts to help students learn about Moroccan architecture, history, and culture. By correctly identifying these different monuments, it can potentially prompt engaging discussions in the classroom.
Cultural Digital Archives: Utilize this model in physical or digital libraries and archives to accurately categorize and tag images of Moroccan monuments. This would assist in maintaining a well-organized and easily searchable database.
Search Engines and Social Media Platforms: Adopt MonumentsMar for enhancing the search capabilities of search engines or social media platforms. Users can search or filter content based on specific Moroccan monuments, making it easier to find the topics they're interested in.
Augmented Reality Experiences: Employ MonumentsMar in the development of augmented reality (AR) experiences for tourists or educational purposes. By recognizing a monument, the AR software could overlay additional information, related stories, or virtual tours for an immersive learning experience.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            monumentsmar-g59ie_dataset,
                            title = { MonumentsMar Dataset },
                            type = { Open Source Dataset },
                            author = { fac },
                            howpublished = { \url{ https://universe.roboflow.com/fac/monumentsmar-g59ie } },
                            url = { https://universe.roboflow.com/fac/monumentsmar-g59ie },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-26 },
                            }