object_detection 0.0.3
object_detection: ^0.0.3 copied to clipboard
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.