travelog model Object Detection Dataset and Pre-Trained Model by bosstest

Images

6877 images

Explore Dataset

Here are a few use cases for this project:

Travel destination recommendation: Use the Travelog model to analyze users' travel photos and preferences by detecting different elements within the photos (e.g., dogs, cats, roads, mountains, oceans, 건물, 바다, 음식, 동물, 사람, 식물, 산). Based on the analyzed preferences, recommend subsequent travel destinations that would match these preferences.
Travel-themed social media platform: Integrate the Travelog model into a social media platform focused on travel. Automatically categorize and tag users' posts based on the detected elements, allowing users and potential followers to efficiently discover similar content or locations.
Tourism promotion based on visual themes: Use the Travelog model to find popular visual themes across tourist locations by analyzing public images shared on social media. This information could help tourism agencies curate and efficiently promote visually appealing tourist spots and create thematic campaigns.
Smart photo album organization: Implement the Travelog model into a photo album app to enable automated organization and categorization of users' travel photos based on the detected visual elements. This will allow users to easily and efficiently search through their memories based on specific themes, destinations, or elements.
Automated content generation for travel websites or blogs: Utilize the Travelog model to retrieve appropriate images based on specific elements from a large dataset or user-generated content library. Content creators can then use these relevant images to create visually appealing and well-organized articles focused on specific travel themes or destinations.

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{
                            travelog-model_dataset,
                            title = { travelog model Dataset },
                            type = { Open Source Dataset },
                            author = { bosstest },
                            howpublished = { \url{ https://universe.roboflow.com/bosstest/travelog-model } },
                            url = { https://universe.roboflow.com/bosstest/travelog-model },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }