App Profile: Visualize - Vision AI
Android / Games / Puzzles
Visualize - Vision AI
Installs:
Rating:
0.00
Total Reviews:
0
Top Countries:
US, GB, AU
< $5k
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< 5k
/mo
Reviews: What People Think About Visualize - Vision AI
Dropping by
Rating: 5/5
There are many talks and slides on vision AI. Able to easily physically try it out in real life is very valuable. This App could potentially be helpful to vision impaired people. The “developer” option gives the capability of compare and contrast different networks. It is quite interesting to see what the latest and greatest vision AI can do.
Just a guest player
Rating: 5/5
I am quite surprised that I could find this app. Device with similar functions usually is very expensive.
12 ukulele😅
Rating: 5/5
This app is very cool. I use it all the time. It’s better than all the apps like Tap tap see, and seeing AI.
About Visualize - Vision AI
Visualize uses various neural networks and AI to identify photos and texts. The app is intended as visual aid for the visually impaired, while also offering a developer mode which allows the exploration of different AIs.
Interface Design:
Joseph Jin (General Interface Designer and Programmer)
Sam Hollenbeck (Graphics Design)
Vision neural networks:
-VGG16
Original Paper: Karen Simonyan & Andrew Zisserman. Keras Implementation: François Chollet
-Resnet50
Original Paper: Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun. Keras Implementation: François Chollet
-Inceptionv3
Original Paper: Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna. Keras Implementation: François Chollet
-Using Microsoft Cognitive Services
http://go.microsoft.com/fwlink/?LinkID=829046.
Requests made using this service may be retained by Microsoft. For more information about the Cognitive Service Privacy, go to https://go.microsoft.com/fwlink/?LinkId=521839
WARNING:
This product should not be used in any situation where it's failure could lead to the death or serious bodily injury of any person, or cause severe physical or environmental damage.
Interface Design:
Joseph Jin (General Interface Designer and Programmer)
Sam Hollenbeck (Graphics Design)
Vision neural networks:
-VGG16
Original Paper: Karen Simonyan & Andrew Zisserman. Keras Implementation: François Chollet
-Resnet50
Original Paper: Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun. Keras Implementation: François Chollet
-Inceptionv3
Original Paper: Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna. Keras Implementation: François Chollet
-Using Microsoft Cognitive Services
http://go.microsoft.com/fwlink/?LinkID=829046.
Requests made using this service may be retained by Microsoft. For more information about the Cognitive Service Privacy, go to https://go.microsoft.com/fwlink/?LinkId=521839
WARNING:
This product should not be used in any situation where it's failure could lead to the death or serious bodily injury of any person, or cause severe physical or environmental damage.
File size: 761137152
Launched countries: US
Minimum OS version: 11.0
Release Date: 1545012008000
Published by Joseph Jin
Website url:
Publisher country:
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