YOLOv8s-pose

YOLOv8s_pose

aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/pose_estimation/YOLOv8s_pose). 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 single, so it supports the core mode(s) single only.

It was evaluated with qbruntime 1.5.0 in async inference mode on coco (5000 samples): map50_95 0.58408, map50 0.84877. Only the evaluated core mode was measured.

SHA-256: 3ab8f2939d4c4ade76105d6f71d2ec12429ddb5e1a016b6a4baf21a6d834f3f2 (15459864 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": "YOLOv8s_pose",
  "variant": "c0923-nobc",
  "qbcompiler": "1.4.0",
  "qbruntime": "1.5.0",
  "compile": {
    "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
    "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
    "inference_scheme": "single",
    "device": "gpu"
  },
  "evaluation": {
    "dataset": "coco",
    "sample_count": 5000,
    "primary": {
      "map50_95": 0.58408
    },
    "secondary": {
      "map50": 0.84877
    },
    "protocol": null,
    "eval_data_identity": null,
    "identity_audit": "absent",
    "inference_mode": "async",
    "image_tag": "1.4-cpu-ubuntu22.04",
    "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
  },
  "retention_percent": {
    "map50_95": 98.32665566815933
  },
  "content_sha256": "7302a140bef539c864d5514f805c676e558e4845d56f2519f02ccd9a9a1c457a",
  "attempt_id": "srcmodes15-yolov8s-pose-20261012t112542",
  "superseded_attempt_ids": [],
  "sha256": "3ab8f2939d4c4ade76105d6f71d2ec12429ddb5e1a016b6a4baf21a6d834f3f2",
  "format": "MXQv7",
  "supported_modes": [
    "single"
  ],
  "size": 15459864,
  "ops_commits": {
    "selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/pose_estimation/YOLOv8s_pose",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}