Capstone Custom Data Set

Object Detection

Roboflow Universe Capstone Capstone Custom Data Set

Capstone Custom Data Set Computer Vision Project

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Explore Dataset

Steps for training a custom data set • Set up the Code • Download the Data • Convert the Annotations into the YOLO v5 Format o YOLO v5 Annotation Format o Testing the annotations o Partition the Dataset • Training Options o Data Config File o Hyper-parameter Config File o Custom Network Architecture o Train the Model • Inference o Computing the mAP on test dataset 1.

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:

                            title = { Capstone Custom Data Set Dataset },
                            type = { Open Source Dataset },
                            author = { Capstone },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-16 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Capstone Custom Data Set project in your project.



Last Updated

a year ago

Project Type

Object Detection



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