Coin detection Computer Vision Project
tutorial
Updated 7 months ago
0
views0
downloadsTags
Classes (16)
* 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
==============================
Coin - v1 Coins Detection
Coins are annotated in YOLO v5 PyTorch format.
For state of the art Computer Vision training notebooks you can use with this dataset,
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 2815 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on April 14, 2024 at 6:21 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
visit https://github.com/roboflow/notebooks
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{
coin-detection-qajzi_dataset,
title = { Coin detection Dataset },
type = { Open Source Dataset },
author = { tutorial },
howpublished = { \url{ https://universe.roboflow.com/tutorial-tpn0b/coin-detection-qajzi } },
url = { https://universe.roboflow.com/tutorial-tpn0b/coin-detection-qajzi },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2024-11-14 },
}