object_detection 0.2.1

On-device object detection using MediaPipe EfficientDet-Lite TFLite models. 80 COCO classes, fully offline.

0.2.1

• Update flutter_litert -> 3.3.1

0.2.0

• Update flutter_litert -> 3.2.0
• Import native-only flutter_litert APIs via package:flutter_litert/native.dart so they resolve under static analysis (flutter_litert 3.2.0 moved InterpreterFactory, IsolateWorkerBase, and TensorFloat32Views behind the native conditional export). No runtime or API change.

0.1.2

• Update flutter_litert -> 3.1.1

0.1.1

• Update flutter_litert -> 2.8.3

0.1.0

• Update flutter_litert -> 2.8.0
• Complete Swift Package Manager migration: example apps build via SPM without CocoaPods

0.0.8

• Remove unused Darwin podspecs for Dart-only iOS/macOS plugin registration.

0.0.7

• Update flutter_litert -> 2.5.8

0.0.6

• Update flutter_litert -> 2.5.5

0.0.5

• Update flutter_litert to 2.5.3

0.0.4

• Update flutter_litert -> 2.5.2

0.0.3

• Update flutter_litert -> 2.5.0

0.0.2

• Update flutter_litert -> 2.4.1

0.0.1 - 2026-04-27

• Initial release.
• On-device object detection over 80 COCO classes.
• Two model variants: EfficientDet-Lite0 (default, 320×320) and EfficientDet-Lite2 (448×448).
• Per-call options: scoreThreshold, maxResults, categoryAllowlist, categoryDenylist.
• Background isolate for inference; UI thread is never blocked.
• Image input variants: encoded bytes, file path, cv.Mat, raw pixel bytes, CameraImage, CameraFrame.
• Hardware-accelerated by default: Metal on iOS, XNNPACK elsewhere.
• Cross-platform: Android, iOS, macOS, Windows, Linux.