Min
Max
Min
Max
Min
Max
Min
Max
Related Objects of Interest: sign-language , ============================== , the following pre-processing was applied to each image: , hello , roboflow is an end-to-end computer vision platform that helps you , * auto-orientation of pixel data (with exif-orientation stripping) , i love you , thank you , the following augmentation was applied to create 3 versions of each source image: , * collaborate with your team on computer vision projects
1440 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Resize to 640x640 (Stretch)* 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 time19202122232425==============================ABCD
1728 images
- 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)- collaborate with your team on computer vision projects- understand unstructured image data- use active learning to improve your dataset over time22232425==============================American Sign Language Letters - v1 v1It includes 1728 images-Letters are annotated in YOLO v7 PyTorch format-Roboflow is an end-to-end computer vision platform that helps youThe following augmentation was applied to create 3 versions of each source image:
1720 images
* 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* collaborate with your team on computer vision projects* collect & organize images* export, train, and deploy computer vision models* understand unstructured image data* use active learning to improve your dataset over time22232425==============================American Sign Language Letters - v1 v1
1760 images
* 50% probability of horizontal flip* 50% probability of vertical flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random Gaussian blur of between 0 and 1.5 pixels* Random exposure adjustment of between -10 and +10 percent* Randomly crop between 0 and 20 percent of the image* Resize to 640x640 (Stretch)* 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 time242526==============================American Sign Language Letters - v2 2024-12-10 12:43pmFor state of the art Computer Vision training notebooks you can use with this dataset,Letters are annotated in YOLOv8 format.
1728 images1 model
* 50% probability of horizontal flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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* collaborate with your team on computer vision projects* collect & organize images* export, train, and deploy computer vision models* understand unstructured image data* use active learning to improve your dataset over time2324==============================AASLAmerican Sign Language Letters - v1 v1B
1720 images
* 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)1516171819202122232425==============================
1720 images1 model
* 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)1516171819202122232425==============================
1720 images1 model
* 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)1516171819202122232425==============================
9994 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Resize to 640x640 (Stretch)* 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 time192021222324252627282930
160 images
* collaborate with your team on computer vision projects* collect & organize images* export, train, and deploy computer vision models* use active learning to improve your dataset over time==============================ABCDEFFor state of the art Computer Vision training notebooks you can use with this dataset,GHIJKRoboflow is an end-to-end computer vision platform that helps youThis dataset was exported via roboflowTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
1728 images1 model
* 50% probability of horizontal flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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* collaborate with your team on computer vision projects* collect & organize images* export, train, and deploy computer vision models* understand unstructured image data* use active learning to improve your dataset over time2324==============================AASLAmerican Sign Language Letters - v1 v1B
