LF_20230628_Side Computer Vision Project
Updated 3 months ago
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Here are a few use cases for this project:
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Sports Equipment Inventory: Retailers in the sports industry can automatically identify and track their baseball-related sporting goods inventory using LF_20230628_Side. With the model's ability to recognize baseball classes, these businesses can efficiently maintain stock levels, reducing manual count errors and improving customer satisfaction.
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Player Skills Training: LF_20230628_Side can be used in coaching and player development. It can assist in identifying specific baseballs used in drills or games, helping coaches track players' progress and assess their skills more precisely.
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Automated Multi-Media Tagging: Media outlets or content creators can utilize this model to automate tagging baseball-related photos or videos, simplifying the process of organizing and retrieving specific media files, enhancing their online content and improving SEO.
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Sports Memorabilia Authentication: LF_20230628_Side can be used by collectors or auction houses to authenticate different classes of baseballs, ensuring buyers are getting genuine, valuable items, and contributing to a more legitimate and secure trading environment.
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Sports Event Security: Security at sports events could be enhanced by using the computer vision model to scan and identify prohibited baseball objects or harmful alterations, ensuring a safe and enjoyable environment for fans and participants.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lf_20230628_side_dataset,
title = { LF_20230628_Side Dataset },
type = { Open Source Dataset },
author = { Sengital5 },
howpublished = { \url{ https://universe.roboflow.com/sengital5-zalag/lf_20230628_side } },
url = { https://universe.roboflow.com/sengital5-zalag/lf_20230628_side },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-11-05 },
}