flash-mdp-object-detection Computer Vision Project

flash mdp 2023

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Description

This object detection algorithm is built for the FLASH Parking MDP Team.

This model uses the YOLOv8 algorithm to identify faces. Using Roboflow, we manually annotated each image by creating a bounding box for each face. The YOLOv8 algorithm trained on this dataset of faces and achieved high accuracy in predicting the location of faces.

The dataset and model are contained below.

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            flash-mdp-object-detection_dataset,
                            title = { flash-mdp-object-detection Dataset },
                            type = { Open Source Dataset },
                            author = { flash mdp 2023 },
                            howpublished = { \url{ https://universe.roboflow.com/flash-mdp-2023-euc2e/flash-mdp-object-detection } },
                            url = { https://universe.roboflow.com/flash-mdp-2023-euc2e/flash-mdp-object-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-12-02 },
                            }