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MoveNet-Lightning

4%
by Google

Single-pose lightning model. 30 FPS on a Coral. The pose 'YOLO-Nano'.

PoseApache-2.0INT8posesingle-person
218K downloads 14K deploymentsUpdated Feb 26, 2028
Headline:6.4ms · Google Coral Edge TPU · INT8

About this model

Single-pose lightning model. 30 FPS on a Coral. The pose 'YOLO-Nano'.

Authored by google. Curated into the Fo’c’sle reference set on 2028-02-26. All cross-chip benchmarks below were collected in matched-pair runs in the HIL lab using the same input pipeline, same upstream preprocessing, and the same downstream consumer. See the methodology page for the full protocol.

Task
Pose
Parameters
4.1 M
Benchmarked on
8 chips
Deployments
14K

Architecture

Top-down pose pipeline
Inferred from upstream weights · simplified
ImageDetectorCropPose headKeypoints

Headline benchmarks

Training data

Pretrained on the upstream maintainer’s released checkpoint. Edge-distillation pass uses 2.4M frames from the Fo’c’sle distillation corpus (consented public data + opt-in publisher contributions). Quantization-aware fine-tune uses 320K calibration samples drawn from the target task’s eval domain.

  • Pretraining corpus: upstream maintainer release
  • Distillation corpus: 2,400,000 frames
  • Calibration set: 320,000 samples (per task)
  • Eval set: standard benchmark + matched-pair HIL runs