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

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.
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Publisher

verified publisherhugo.ml

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

Repository (GitHub)
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Topics

#tflite #object-detection #computer-vision #flutter-plugin

License

Apache-2.0 (license)

Dependencies

flutter, flutter_litert, meta, opencv_dart

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Packages that depend on object_detection

Packages that implement object_detection