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Related Objects of Interest: * auto-orientation of pixel data (with exif-orientation stripping) , * resize to 416x416 (stretch) , ============================== , american sign language letters - v1 v1 , the following pre-processing was applied to each image: , * 50% probability of horizontal flip , * 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
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Top American Sign Language Computer Vision Models
The models below have been fine-tuned for various american sign language detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own american sign language detection model.
At the bottom of this page, we have guides on how to count american sign language in images and videos.
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 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==============================
1800 images1 model
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 and search unstructured image data* use active learning to improve your dataset over time0131618212535==============================AAmerican Sign Language Letters - v1 v1For state of the art Computer Vision training notebooks you can use with this dataset,
1720 images2 models
* 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
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 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==============================
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