FocsleFocsle
CA

FastSAM-Edge

13%
by CASIA

YOLO-backbone segment-anything variant. Where industrial inspection lives now.

SegmentationApache-2.0INT8FP16samindustrialreal-time
138K downloads 6.8K deploymentsUpdated Mar 28, 2028
Headline:18.6ms · Hailo-8 · INT8

About this model

YOLO-backbone segment-anything variant. Where industrial inspection lives now.

Authored by casia. Curated into the Fo’c’sle reference set on 2028-03-28. 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
Segmentation
Parameters
11.4 M
Benchmarked on
4 chips
Deployments
6.8K

Architecture

Mask transformer architecture
Inferred from upstream weights · simplified
ImageBackbonePixel decoderMask transformerClass queriesMask + class

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