bib number labeling Computer Vision Project

Marco Cheung

Updated 10 months ago

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bib-number

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Description

A computer vision model for racing bib number (RBN) detection.

Training data: This model was trained on custom datasets consisting of my self-annotated images and multiple public datasets related to bib-number class available on Roboflow Universe, including:

https://universe.roboflow.com/thomas-lamalle/bib-detection https://universe.roboflow.com/rbnr/bib-detector https://universe.roboflow.com/sputtipa/bip https://universe.roboflow.com/bibnumber/bibnumber https://universe.roboflow.com/python-vertiefung/python-vertiefung https://universe.roboflow.com/hcmus-3p8wh/bib-detection-big-data https://universe.roboflow.com/h1-qtgu0/bib-number

To improve the ability of model prediction power on unseen images, image augmentation techniques are applied to existing 3483 images from the above combined datasets. As a result, a total of 8703 images were used to train this RBN detection model using YOLOv8l as base model.

Compute Infrastructure: The model was trained and fine-tuned in Jupyter Lab environment on GCP Vertex AI Platform, with support of a NVIDIA A100 GPU to accelerate training process.

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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{
                            bib-number-labeling_dataset,
                            title = { bib number labeling Dataset },
                            type = { Open Source Dataset },
                            author = { Marco Cheung },
                            howpublished = { \url{ https://universe.roboflow.com/marco-cheung/bib-number-labeling } },
                            url = { https://universe.roboflow.com/marco-cheung/bib-number-labeling },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-11-05 },
                            }
                        
                    

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