mobilint/YOLO11m-face

YOLO11m_face

aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/face_detection/YOLO11m_face). It was compiled by qbcompiler 1.4.0 in the image mobilint/qbcompiler:1.4-cuda12.8.1-ubuntu22.04 (sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44) with --inference-scheme all, so it supports the core mode(s) single, multi, global4, global8 only.

It was evaluated with qbruntime 1.5.0 in async inference mode on widerface (3226 samples): hard_ap 0.85116, easy_ap 0.95762, medium_ap 0.94845. Only the evaluated core mode was measured.

SHA-256: 07a53d4e55f8914a001104eaac1d1ab7d8feca9128bed9323dcfa4b372f6a127 (28394216 bytes). Verify a download with sha256sum <file>.mxq and compare the digest with this value and with aries-rb/metadata.json.

aries-rb/best_result.json contains legacy build values and is retained for mblt-vision-python compile defaults. The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an older revision.

{
  "schema_version": 2,
  "model": "YOLO11m_face",
  "variant": "c0923-asym-gptq",
  "qbcompiler": "1.4.0",
  "qbruntime": "1.5.0",
  "compile": {
    "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
    "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
    "inference_scheme": "all",
    "device": "gpu"
  },
  "evaluation": {
    "dataset": "widerface",
    "sample_count": 3226,
    "primary": {
      "hard_ap": 0.85116
    },
    "secondary": {
      "easy_ap": 0.95762,
      "medium_ap": 0.94845
    },
    "protocol": null,
    "eval_data_identity": {
      "annotation_sha256": "4dedbd4eb5d00dafe5fdae9040014dc5ed04eeb493ed7661d6804bc87d9089d0",
      "sample_list_sha256": "2e8cd912637ea1af513fd8203d0f195eb500593fb4eb4918e116da0562266519"
    },
    "identity_audit": "verified",
    "inference_mode": "async",
    "image_tag": "1.4-cpu-ubuntu22.04",
    "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
  },
  "retention_percent": {
    "hard_ap": 99.37421192733386
  },
  "content_sha256": "13e705dfc56c78d70aa71e2931a5889f9157c7f060d69a9ae12957c60855d037",
  "attempt_id": "YOLO11m_face-jinman-coreall-834b7921e1b1",
  "superseded_attempt_ids": [],
  "sha256": "07a53d4e55f8914a001104eaac1d1ab7d8feca9128bed9323dcfa4b372f6a127",
  "format": "MXQv7",
  "supported_modes": [
    "single",
    "multi",
    "global4",
    "global8"
  ],
  "size": 28394216,
  "ops_commits": {
    "selection": "fd3ef917cdf31869fa65fdc69e3c727f7e48f50c"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/face_detection/YOLO11m_face",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}