model_1 Computer Vision Project

abdalluh

Updated 10 months ago

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* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
* Random Gaussian blur of between 0 and 0.75 pixels
* Random brigthness adjustment of between -26 and +26 percent
* Resize to 640x640 (Stretch)
* Salt and pepper noise was applied to 3 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
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Characters are annotated in YOLOv8 format.
For state of the art Computer Vision training notebooks you can use with this dataset,
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 2921 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 February 29, 2024 at 10:20 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
ksa-1 - v3 2024-02-25 4:25pm
visit https://github.com/roboflow/notebooks

A description for this project has not been published yet.

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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{
                            model_1-cobzd_dataset,
                            title = { model_1 Dataset },
                            type = { Open Source Dataset },
                            author = { abdalluh },
                            howpublished = { \url{ https://universe.roboflow.com/abdalluh-mnwsg/model_1-cobzd } },
                            url = { https://universe.roboflow.com/abdalluh-mnwsg/model_1-cobzd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2025-01-03 },
                            }
                        
                    

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