Roboflow Universe YOLO Sign language letter recognition

Sign language letter recognition Computer Vision Project

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1720 images

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If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            sign-language-letter-recognition_dataset,
                            title = { Sign language letter recognition Dataset },
                            type = { Open Source Dataset },
                            author = { YOLO },
                            howpublished = { \url{ https://universe.roboflow.com/yolo-b5jrv/sign-language-letter-recognition } },
                            url = { https://universe.roboflow.com/yolo-b5jrv/sign-language-letter-recognition },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-04 },
                            }

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Source

YOLO

Last Updated

13 days ago

Project Type

Object Detection

Subject

letters

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License

CC BY 4.0

Classes

* 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) 15 16 17 18 19 20 21 22 23 24 25 ============================== A American Sign Language Letters - v1 v1 B C D E F G H I It includes 1728 images. J K L Letters are annotated in YOLO v5 PyTorch format. M N O P Q R S T 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.ai on October 20, 2020 at 4:54 PM GMT U V W X Y Z

Object Detection