symbols_c Computer Vision Project
audiograms
Updated a month ago
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Classes (29)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
* 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
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Cross are annotated in YOLO v5 PyTorch format.
For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 232 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on October 15, 2024 at 7:03 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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square symbols - v4 2024-10-15 7:02am
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LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
symbols_c_dataset,
title = { symbols_c Dataset },
type = { Open Source Dataset },
author = { audiograms },
howpublished = { \url{ https://universe.roboflow.com/audiograms/symbols_c } },
url = { https://universe.roboflow.com/audiograms/symbols_c },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2024-11-21 },
}