GOby Google
MoveNet-Lightning
4%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
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