info.yaml

name: Semantic Segmentation Android
id: semantic_segmentation_android
license_url: https://github.com/qualcomm/ai-hub-apps/blob/main/LICENSE
license_type: bsd-3-clause
models: ['ffnet_40s', 'ffnet_54s', 'ffnet_78s', 'ffnet_78s_lowres', 'ffnet_122ns_lowres']
model_file_paths:
  - 'src/main/assets/segmenter.tflite'
runtime: tflite
status: published
domain: 'Computer Vision'
headline: 'Learn real-time image processing with TFLite and OpenCV'
description: 'A sample Android app demonstrating semantic segmentation on live camera input, showcasing the integration of streaming camera, TFLite, and OpenCV. It provides a practical example of AI-powered image analysis in real time.'
precisions: [float]
app_type: 'android'
base_docker: ubuntu.dockerfile
static_img_filename: 'app_screen.png'
app_repo_relative_path: 'semantic_segmentation_android'
os:
  name: Android
  version: 14+
languages: ['Java']
use_case: 'Semantic Segmentation'
related_models: ['ffnet_40s', 'ffnet_54s', 'ffnet_78s', 'ffnet_78s_lowres', 'ffnet_122ns_lowres']
supported_devices: ["Snapdragon 8 Elite QRD"]