human_detection 1.0.1

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

1.0.1

Bug Fixes & Improvements

• iOS Fix: Fixed image preprocessing pixel format issue (BGRA to RGB conversion)
• iOS detection now works correctly with the same accuracy as Android
• Added screenshots to README demonstrating detection results
• Improved documentation with visual examples

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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