Unphis_Ctrl_model_gestures Computer Vision Project

Unphis Ctrl

Updated 7 months ago

Classes (26)
* 50% probability of horizontal flip
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 1.25 pixels
* Random brigthness adjustment of between -25 and +25 percent
* Random rotation of between -5 and +5 degrees
* Random shear of between -5° to +5° horizontally and -5° to +5° vertically
* Randomly crop between 0 and 20 percent of the image
* Resize to 416x416 (Stretch)
* annotate, and create datasets
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25
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American Sign Language Letters - v1 v1
For state of the art Computer Vision training notebooks you can use with this dataset,
Letters are annotated in YOLOv8 format.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 1728 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 January 20, 2023 at 7:39 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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{
                            unphis_ctrl_model_gestures_dataset,
                            title = { Unphis_Ctrl_model_gestures Dataset },
                            type = { Open Source Dataset },
                            author = { Unphis Ctrl },
                            howpublished = { \url{ https://universe.roboflow.com/unphis-ctrl/unphis_ctrl_model_gestures } },
                            url = { https://universe.roboflow.com/unphis-ctrl/unphis_ctrl_model_gestures },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-11-26 },
                            }
                        
                    

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