symbols_c Computer Vision Project
audiograms
Updated 15 days 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.
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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 = { dec },
note = { visited on 2024-12-24 },
}