Yolo detection website Computer Vision Project

Penghor Vat

Updated 3 years ago

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Classes (3)
Angkor Wat
Apsara
Objects

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Description

Here are a few use cases for this project:

  1. Archeological Research: Researchers in the field of archaeology could leverage this computer vision model to identify specific types of architectural structures, such as the Angkor Wat, within their images for better understanding and classification.

  2. Tourism Industry: Travel agencies and the tourism industry as a whole could utilize this model for identifying specific structures or objects within images, like Apsara or Angkor Wat. It can be beneficial for the development of guides or educational materials about particular tourist destinations.

  3. Content Recommendation Systems: Digital platforms like travel blogs or tourism websites could use this model to provide users with customized content recommendations based on the classified objects/structures in the images users are browsing or uploading.

  4. Heritage Management and Conservation: This model could be helpful in scanning large volumes of images to identify images featuring Apsara, Angkor Wat, and other objects of heritage. The information could support conservation efforts, management planning, and fundraising activities for these historical sites.

  5. Education: Educators in the field of history or architecture could use this computer vision model to sort through large datasets of images for teaching resources. It could automatically group images featuring Angkor Wat, Apsara figures, and other artifacts, saving valuable preparation time.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            yolo-detection-website_dataset,
                            title = { Yolo detection website Dataset },
                            type = { Open Source Dataset },
                            author = { Penghor Vat },
                            howpublished = { \url{ https://universe.roboflow.com/penghor-vat/yolo-detection-website } },
                            url = { https://universe.roboflow.com/penghor-vat/yolo-detection-website },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-29 },
                            }
                        
                    

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