XCSkiDetect Instance Segmentation Dataset and Pre-Trained Model by JG

Images

1919 images

Explore Dataset

Here are a few use cases for this project:

Sports Training Analysis: Trainers and athletes can use the "XCSkiDetect" model to analyze Cross-Country skiing training sessions, identifying skiers' postures and techniques for improvement suggestions.
Event Monitoring: Event organizers can use this model for cross-country ski events to monitor participants, keep track of participants' numbers and maintain safety standards.
Sports Equipment Marketing: Companies that manufacture or sell cross-country skiing equipment can use this model to detect their products in use in images or videos on social media platforms, providing valuable data for marketing and product development.
Video Game Development: Developers designing skiing simulation or sports-related video games can use this model to improve the realism and gameplay of their products.
Search and Rescue: Search and Rescue teams can employ this model to identify skiers in potentially vast wilderness areas from drone or satellite footage, assisting in locating lost or injured individuals.

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{
                            xcskidetect_dataset,
                            title = { XCSkiDetect Dataset },
                            type = { Open Source Dataset },
                            author = { JG },
                            howpublished = { \url{ https://universe.roboflow.com/jg-vvn6v/xcskidetect } },
                            url = { https://universe.roboflow.com/jg-vvn6v/xcskidetect },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-06-24 },
                            }