https://github.com/saransh-cpp/scenenet
Scenery detection using transfer learning. (Frontend)
https://github.com/saransh-cpp/scenenet
dart deep-learning deep-neural-networks flutter transfer-learning
Last synced: about 1 month ago
JSON representation
Scenery detection using transfer learning. (Frontend)
- Host: GitHub
- URL: https://github.com/saransh-cpp/scenenet
- Owner: Saransh-cpp
- Created: 2021-12-05T20:01:09.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-12-17T17:23:30.000Z (over 3 years ago)
- Last Synced: 2025-03-27T02:44:27.000Z (about 1 year ago)
- Topics: dart, deep-learning, deep-neural-networks, flutter, transfer-learning
- Language: Dart
- Homepage:
- Size: 91.8 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# SceneNet
Scenery detection using transfer learning.
## Description
This application was built to assist visually impaired people by providing them information about their surroundings.
- Through this app, a user can take a picture of their surrounding to know where they are.
- The app has a minimal and a smooth UI (along with bright colors), making it easy for visually impaired people to navigate.
- The app uploads the image file to [SceneNet_Backend](https://github.com/Saransh-cpp/SceneNet-Backend), which is trained, using transfer learning, on a dataset of 10,000+ indoor images.
- The API returns a specific category which is then either, only displayed, or, displayed and spoken (text to speech).
- Visually impaired people can easily select if they want the app to speak or not.
## Screenshots
## Getting Started
This project is a starting point for a Flutter application.
A few resources to get you started if this is your first Flutter project:
- [Lab: Write your first Flutter app](https://flutter.dev/docs/get-started/codelab)
- [Cookbook: Useful Flutter samples](https://flutter.dev/docs/cookbook)
For help getting started with Flutter, view our
[online documentation](https://flutter.dev/docs), which offers tutorials,
samples, guidance on mobile development, and a full API reference.