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Related Objects of Interest: sign-language , hello , i love you , * 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: , help , please
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Top Language Computer Vision Models
The models below have been fine-tuned for various 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 language detection model.
At the bottom of this page, we have guides on how to count languages in images and videos.
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,
92 images2 models
1 - See-through register in denominational numeral-1-BG - Year of printing of the note on left10 - Ashoka pillar emblem on the right-11 -Circle with Rs 500 in raised print on the right-12 -Five bleed lines on left and right in raised print-2 - Latent image of the denomination numeral-2-BG - Swachh Bharat logo with the slogan-3 - Denomination numeral in Devnagari-3-BG - Language panel towards the centre-4 - Mahatma Gandhi-s portrait in centre facing to right-4 -BG- Red Fort with Indian flag-5 - Windowed security thread that changes colours from green to blue when the note is tilted-5-BG - Denomination numeral in Devnagari on right-6 - Guarantee clauseGovernor-s signature with promise clause and RBI emblem tilted towards the right9 - Denomination in numerals with rupee symbol in colour changing ink -green to blue- on the bottom right-
9390 images5 models
No image augmentation techniques were applied.SIGN-LANGUAGE are annotated in YOLOv8 format.The dataset includes 6049 images.This dataset was exported via roboflowThis dataset was exported via roboflow.com on December 4, 2023 at 5:01 PM GMTakoanimapataralatebackspacebackspace_fail_brobasadalawaduktorhellohintoi love youikawinom
40 images2 models
1672 images1 model
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1019 images2 models
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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==============================
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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