Road Sign Detector Image Dataset Computer Vision Project
college
Updated a year ago
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Classes (27)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 2.5 pixels
* Random brigthness adjustment of between -25 and +25 percent
* Resize to 640x640 (Stretch)
* Salt and pepper noise was applied to 14 percent of pixels
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
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* use active learning to improve your dataset over time
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For state of the art Computer Vision training notebooks you can use with this dataset,
Road Sign Detector - v7 Add blur and noise
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The dataset includes 3486 images.
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on November 15, 2023 at 5:45 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Trafic-Light-Stop-Speedlimit-Crosswalk. are annotated in YOLOv8 format.
visit https://github.com/roboflow/notebooks
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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{
road-sign-detector-image-dataset_dataset,
title = { Road Sign Detector Image Dataset Dataset },
type = { Open Source Dataset },
author = { college },
howpublished = { \url{ https://universe.roboflow.com/college-g19gz/road-sign-detector-image-dataset } },
url = { https://universe.roboflow.com/college-g19gz/road-sign-detector-image-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-12-22 },
}