mobilint/YOLO26n-depth

YOLO26n_depth

Source: https://github.com/ultralytics/ultralytics

aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/depth_estimation/YOLO26n_depth). 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 nyu-depth (654 samples): delta1 0.74652, abs_rel 0.17518, rmse 0.63321. Only the evaluated core mode was measured.

SHA-256: d2f497f835102d7611dca2d9b6be261a436bec1c302c942fde5c13182e6ee027 (9496924 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": "YOLO26n_depth",
  "variant": "c0923-gptaq",
  "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": "nyu-depth",
    "sample_count": 654,
    "primary": {
      "delta1": 0.74652
    },
    "secondary": {
      "abs_rel": 0.17518,
      "rmse": 0.63321
    },
    "protocol": null,
    "eval_data_identity": {
      "annotation_sha256": "cf5550fd19e9b819877df26b761d4922903c4086b485614560bf5dc0def2122a",
      "sample_list_sha256": "7681a8f408fa8c24520f4f61f995ab25037869803543df605d0a0831a47f6f04"
    },
    "identity_audit": "verified",
    "inference_mode": "async",
    "image_tag": "1.4-cpu-ubuntu22.04",
    "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
  },
  "retention_percent": {
    "delta1": 99.15919505877665
  },
  "content_sha256": "e055a73df49eb5e1331f88a42e47e6e765f4b9e0718377d1dbae2dbda96fa5d2",
  "attempt_id": "YOLO26n_depth-jinman-coreall-e1e8cb261e01",
  "superseded_attempt_ids": [],
  "sha256": "d2f497f835102d7611dca2d9b6be261a436bec1c302c942fde5c13182e6ee027",
  "format": "MXQv7",
  "supported_modes": [
    "single",
    "multi",
    "global4",
    "global8"
  ],
  "size": 9496924,
  "ops_commits": {
    "selection": "375fc72712db820951e65e3295383db2bf3b1e51"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/depth_estimation/YOLO26n_depth",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}