This project has been moved to https://gitlab.com/archiekennedy/argon, consider this repository outdated.
Computer vision object classifier for Android using the Cobalt Neural Network.
This app is capable of recognising 100 types of objects (taken from the CIFAR-100 data set):
apple, aquarium fish, baby, bear, beaver, bed, bee, beetle, bicycle, bottle, bowl, boy, bridge, bus, butterfly, camel, can, castle, caterpillar, cattle, chair, chimpanzee, clock, cloud, cockroach, couch, crab, crocodile, cup, dinosaur, dolphin, elephant, flatfish, forest, fox, girl, hamster, house, kangaroo, keyboard, lamp, lawn mower, leopard, lion, lizard, lobster, man, maple tree, motorcycle, mountain, mouse, mushroom, oak tree, orange, orchid, otter, palm tree, pear, pickup truck, pine tree, plain, plate, poppy, porcupine, possum, rabbit, raccoon, ray, road, rocket, rose, sea, seal, shark, shrew, skunk, skyscraper, snail, snake, spider, squirrel, streetcar, sunflower, sweet pepper, table, tank, telephone, television, tiger, tractor, train, trout, tulip, turtle, wardrobe, whale, willow tree, wolf, woman, worm
It would be relatively easy to retrain the neural network with more object classes, provided you have enough training data.
Enable installation of apps from unknown sources:
- Settings -> Security
- Enable Unknown sources
Then download and install this APK.
Clone or download this repository and perform a Gradle sync, this can be done from Android Studio:
- Build -> Make Project
- File -> Sync Project with Gradle Files
Now you should be able to build and run the app.
This app uses the MIT License.
Code belonging to the Android Open Source Project is released under the Apache License, Version 2.0.