Capstone Custom Data Set Computer Vision Project
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:
@misc{
capstone-custom-data-set_dataset,
title = { Capstone Custom Data Set Dataset },
type = { Open Source Dataset },
author = { Capstone },
howpublished = { \url{ https://universe.roboflow.com/capstone-ldvkn/capstone-custom-data-set } },
url = { https://universe.roboflow.com/capstone-ldvkn/capstone-custom-data-set },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-05-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Capstone Custom Data Set project in your project.
Source
Last Updated
a year ago
Project Type
Object Detection
Subject
Chess-Coins
Views: 1
Downloads: 0
