test Computer Vision Project
cqupt
Updated 7 months ago
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# Citation
# Description
# Introduction
# Requirements
- `numpy`
- `tqdm`
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Issues should be raised directly in the repository. For additional questions or comments please email Glenn Jocher at glenn.jocher@ultralytics.com or visit us at https://contact.ultralytics.com.
Python 3.7 or later with the following `pip3 install -U -r requirements.txt` packages:
The https://github.com/ultralytics/COCO2YOLO repo contains code to convert JSON datasets into YOLO (darknet) format. The code works on Linux, MacOS and Windows.
This directory contains software developed by Ultralytics LLC, and **is freely available for redistribution under the GPL-3.0 license**. For more information please visit https://www.ultralytics.com.
[](https://zenodo.org/badge/latestdoi/186122711)
A description for this project has not been published yet.
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Cite This Project
LICENSE
Public Domain If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
test-ql86d_dataset,
title = { test Dataset },
type = { Open Source Dataset },
author = { cqupt },
howpublished = { \url{ https://universe.roboflow.com/cqupt-qzho0/test-ql86d } },
url = { https://universe.roboflow.com/cqupt-qzho0/test-ql86d },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-12-18 },
}