android-yolo
Real-time object detection on Android using YOLO with TensorFlow, detecting 20 object classes from the Pascal VOC dataset.
What is android-yolo?
android-yolo is an Android application that implements real-time object detection using the YOLO (You Only Look Once) neural network with TensorFlow. It allows Android devices to detect 20 different object classes from the Pascal VOC dataset directly on the device without requiring cloud processing. The project was the first implementation of YOLO for TensorFlow on Android.
Android developers and researchers interested in implementing real-time computer vision applications on mobile devices, particularly those working with object detection and TensorFlow mobile deployments.
Developers choose android-yolo because it provides a working implementation of YOLO for Android with TensorFlow, offering real-time object detection capabilities directly on device with minimal setup. It's particularly valuable as it was the first such implementation and includes both source code and a standalone APK for immediate testing.
Overview
Real-time object detection on Android using the YOLO network with TensorFlow
Use Cases
Best For
- Implementing real-time object detection in Android applications
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