COCo 128 Computer Vision Project
Keertan
Updated 9 months ago
15
3
Tags
Classes (71)
# Citation
# Description
# Introduction
# Requirements
- `numpy`
- `tqdm`
13
14
15
16
17
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
38
39
40
41
42
43
44
45
46
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
67
68
69
71
72
73
74
75
76
77
79
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.
[![DOI](https://zenodo.org/badge/186122711.svg)](https://zenodo.org/badge/latestdoi/186122711)
A description for this project has not been published yet.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
coco-128-0osec_dataset,
title = { COCo 128 Dataset },
type = { Open Source Dataset },
author = { Keertan },
howpublished = { \url{ https://universe.roboflow.com/keertan-cd0sd/coco-128-0osec } },
url = { https://universe.roboflow.com/keertan-cd0sd/coco-128-0osec },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-12-25 },
}