https://github.com/mmm67/tensorflowlite_objectdetection

The app utilizes the EfficientDet-Lite model to perform real-time object detection on the camera feed.
https://github.com/mmm67/tensorflowlite_objectdetection

camerax jetpackcompose tensorflowlite

Last synced: 1 day ago
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The app utilizes the EfficientDet-Lite model to perform real-time object detection on the camera feed.

• Host: GitHub
• URL: https://github.com/mmm67/tensorflowlite_objectdetection
• Owner: mmm67
• Created: 2025-01-30T17:55:26.000Z (14 days ago)
• Default Branch: main
• Last Pushed: 2025-01-30T18:36:11.000Z (14 days ago)
• Last Synced: 2025-01-30T19:26:25.939Z (14 days ago)
• Topics: camerax, jetpackcompose, tensorflowlite
• Language: Kotlin
• Homepage:
• Size: 3.82 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Object Detection with TensorFlow Lite, CameraX, and Jetpack Compose

This project demonstrates how to use **CameraX**, **TensorFlow Lite**, and **Jetpack Compose** to build an object detection app for Android. The app utilizes the **EfficientDet-Lite** model to perform real-time object detection on the camera feed.

## Features

- **Real-time object detection** using TensorFlow Lite and EfficientDet-Lite model.

- **CameraX integration** to capture the camera feed.

- **Jetpack Compose UI** to display detected objects and bounding boxes on the screen.

- Efficient model inference for on-device processing with TensorFlow Lite.

## Technologies Used

- **TensorFlow Lite**: For efficient and fast on-device machine learning inference.

- **CameraX**: To provide a camera feed for real-time object detection.

- **Jetpack Compose**: To build a modern UI with Kotlin’s declarative UI framework