go4av05

Arrow Detection

Object Detection

Arrow Detection Computer Vision Project

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Cite This Project

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 2024-05-08 },
                            }
                        

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Source

go4av05

Last Updated

5 months ago

Project Type

Object Detection

Subject

Arrow-signs

Views: 8

Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

* 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 * 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 17 18 19 20 21 22 23 24 25 26 ============================== 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 left right up visit https://github.com/roboflow/notebooks 경진대회 - v5 2023-11-03 12:38pm
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