Roboflow Universe try13 try13

try13 Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

1771 images

Explore Dataset

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.

Cite This Project

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

@misc{
                            try13_dataset,
                            title = { try13 Dataset },
                            type = { Open Source Dataset },
                            author = { try13 },
                            howpublished = { \url{ https://universe.roboflow.com/try13/try13 } },
                            url = { https://universe.roboflow.com/try13/try13 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jun },
                            note = { visited on 2024-06-26 },
                            }

Connect Your Model With Program Logic

Find utilities and guides to help you start using the try13 project in your project.

supervision

Find utilities to work with this project in Python.

Roboflow Learn

Build the knowledge you need to evaluate and deploy your model.

Source

try13

Last Updated

22 days ago

Project Type

Object Detection

Subject

seg

Views: 0

Downloads: 0

License

CC BY 4.0

Classes

* annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time ============================== Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow try12 - v3 2024-06-05 2:37am

Object Detection Model snap