Arrow Detection Computer Vision Project
go4av05
Updated a year ago
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* Random Gaussian blur of between 0 and 2.5 pixels
* Random brigthness adjustment of between -25 and +25 percent
* Random exposure adjustment of between -25 and +25 percent
* Salt and pepper noise was applied to 5 percent of pixels
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Airport-signage 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.
Road are annotated in YOLOv8 format.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 1177 images.
The dataset includes 12000 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 3, 2023 at 3:43 AM GMT
This dataset was exported via roboflow.com on November 7, 2023 at 5:36 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
airport_signage - v8 Dataset without transformations
arrow detection - v1 2023-01-27 5:26am
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visit https://github.com/roboflow/notebooks
경진대회 - v5 2023-11-03 12:38pm
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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{
arrow-detection-bsjco_dataset,
title = { Arrow Detection Dataset },
type = { Open Source Dataset },
author = { go4av05 },
howpublished = { \url{ https://universe.roboflow.com/go4av05/arrow-detection-bsjco } },
url = { https://universe.roboflow.com/go4av05/arrow-detection-bsjco },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-12-18 },
}