Axel TONNEAU

meb-powder

Instance Segmentation

meb-powder 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{
                            meb-powder_dataset,
                            title = { meb-powder Dataset },
                            type = { Open Source Dataset },
                            author = { Axel TONNEAU },
                            howpublished = { \url{ https://universe.roboflow.com/axel-tonneau-0qdia/meb-powder } },
                            url = { https://universe.roboflow.com/axel-tonneau-0qdia/meb-powder },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-04 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the meb-powder project in your project.

Source

Axel TONNEAU

Last Updated

8 months ago

Project Type

Instance Segmentation

Subject

meb-particle

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Views in previous 30 days: 7

Downloads: 1

Downloads in previous 30 days: 1

License

CC BY 4.0

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