Roboflow Universe Thomas more university of applied sciences my project

my project Computer Vision Project

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Goals 1- Create dataset and apply augmentations. 2- Train custom YOLO model. 3- Evaluate using still frames. 4- Evaluate usinf video.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            my-project-bt79l_dataset,
                            title = { my project Dataset },
                            type = { Open Source Dataset },
                            author = { Thomas more university of applied sciences },
                            howpublished = { \url{ https://universe.roboflow.com/thomas-more-university-of-applied-sciences-fsaz3/my-project-bt79l } },
                            url = { https://universe.roboflow.com/thomas-more-university-of-applied-sciences-fsaz3/my-project-bt79l },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-04-27 },
                            }