VideoAnnotationDemoShort Computer Vision Project
Updated 3 years ago
Metrics
I enjoy the sport of ice hockey. My sons would like various statistics regarding their time on the ice during games. I would love to automate the process so that I do not have to start and stop hours of video. Ice hockey object detection can be quite difficult due to many issues. The images are quite “busy” with players, sticks. advertisements on the boards, referees, and nets. The puck is small and easily hidden. The player number is the only player differentiation and is not always visible. There are some companies developing tracking programs, but they require sensors and a special puck. No matter the difficulties, I start to play around with object identification from a game video. For this exploration, I will use Roboflow and walk you through my process. My expectations are limited for this ‘real-life’ video scenario. The datasets will be small and the images messy.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
videoannotationdemoshort_dataset,
title = { VideoAnnotationDemoShort Dataset },
type = { Open Source Dataset },
author = { Dawn Moyer },
howpublished = { \url{ https://universe.roboflow.com/dawn-moyer/videoannotationdemoshort } },
url = { https://universe.roboflow.com/dawn-moyer/videoannotationdemoshort },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { oct },
note = { visited on 2024-11-21 },
}