MC22L

Drank Glazen

Object Detection

Drank Glazen Computer Vision Project

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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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, 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{
                            drank-glazen_dataset,
                            title = { Drank Glazen Dataset },
                            type = { Open Source Dataset },
                            author = { MC22L },
                            howpublished = { \url{ https://universe.roboflow.com/mc22l/drank-glazen } },
                            url = { https://universe.roboflow.com/mc22l/drank-glazen },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Drank Glazen project in your project.

Source

MC22L

Last Updated

9 days ago

Project Type

Object Detection

Subject

drank-glazen

Views: 60

Views in previous 30 days: 21

Downloads: 4

Downloads in previous 30 days: 3

License

CC BY 4.0

Classes

mix shot wine