human_detection 1.0.0 copy "human_detection: ^1.0.0" to clipboard
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A Flutter plugin for detecting humans in images using machine learning. Uses TensorFlow Lite for efficient on-device inference.

1.0.0 #

Initial Release 🎉 #

Features:

  • Human detection from image file path
  • Human detection from image bytes
  • Configurable confidence threshold
  • GPU acceleration support (Android & iOS)
  • Configurable thread count for CPU inference
  • Custom model support
  • Detailed detection results with:
    • Confidence scores
    • Processing time
    • Bounding box coordinates
  • Comprehensive example application

Supported Platforms #

  • ✅ Android (API 24+)
  • ✅ iOS (13.0+)

Model #

  • Pre-trained SSD MobileNet V1 from TensorFlow Hub
  • Trained on COCO dataset (detects "person" class)
  • Optimized for mobile deployment with TensorFlow Lite
  • Model size: ~4 MB
  • Input: 300x300 RGB images
  • Supports both object detection and binary classifier models
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API reference

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A Flutter plugin for detecting humans in images using machine learning. Uses TensorFlow Lite for efficient on-device inference.

Repository (GitHub)
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Contributing

Topics

#machine-learning #image-processing #tensorflow-lite #human-detection #computer-vision

License

MIT (license)

Dependencies

flutter, plugin_platform_interface

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Packages that depend on human_detection

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