KBS KONG vs Photo Classifier

You can enjoy KBS Radio on your smartphone anytime and anywhere! KBS radio KONG offers our audiences an easy and simple radio service. 1. On-Air Service You can listen & waching to KBS Radio in real time. 2. Listen Again Service If you missed any radio show, find 'Listen Again' Service. You can listen to the earlier programs whenever you want! 3. Program Schedule KBS Radio provides daily program schedule. Check out your favourite program schedule! KBS radio KONG will always do our best to meet the audience's needs with better service and various contents. Thank you. [Detailed Guide to App Access Permission] 1. Required access rights - none 2. Select access rights - Alert: Notification of usage information. - Photo: Attached photo when writing on some boards - Camera: It is used to attach pictures after attaching some boards. * You can use the service even if you do not agree to allow the optional access rights. * How to change access authority: Settings> KBS KONG

Photo Classifier uses state of the art Machine Learning models that use Convolutional Neural Networks (CNNs) to classify photos taken with your camera or from your library. The classification includes both a descriptive label of the scene, as well as the probability associated with the label. Six models have been included, and the app provides the output from each of the models in a fraction of a second each. You can see more detail on the top five predictions for each model, along with the probability of each prediction. This is a simple but very powerful tool that demonstrates how far artificial intelligence and machine learning has come, especially the power of deep neural networks and specifically, convolutional neural networks.These models are all freely available from the internet under the licenses provided by the links below. GoogLeNetPlaces: Creative Common License. More information available at http://places.csail.mit.edu Resnet50: MIT License. More information available at https://github.com/fchollet/keras/blob/master/LICENSE Inceptionv3: MIT License. More information available at https://github.com/fchollet/keras/blob/master/LICENSE VGG16: Creative Commons Attribution 4.0 International(CC BY 4.0). More information available at https://creativecommons.org/licenses/by/4.0/ SqueezeNet: BSD License. More information available at https://github.com/DeepScale/SqueezeNet/blob/master/LICENSE MobileNet: Apache License. Version 2.0 http://www.apache.org/licenses/LICENSE-2.0