mobilint/YOLO26x-depth

YOLO26x_depth

aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/depth_estimation/YOLO26x_depth). It was compiled by qbcompiler 1.3.0 in the image mobilint/qbcompiler:1.3-cuda12.8.1-ubuntu22.04 (sha256:6ad69aaa9581487ac6a1864b88d4c2179c7a4a486a3ab1ac376dbdfe763415e7) 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 0.80724, abs_rel 0.14485, rmse 0.58014. Only the evaluated core mode was measured.

SHA-256: 69609cd145f3cb41d883a54ca4072bd68f53608f30a0f356c5a56c8b3df294f5 (64318123 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": "YOLO26x_depth",
  "variant": "bias-corr-ls",
  "qbcompiler": "1.3.0",
  "qbruntime": "1.5.0",
  "compile": {
    "image_tag": "1.3-cuda12.8.1-ubuntu22.04",
    "image_digest": "sha256:6ad69aaa9581487ac6a1864b88d4c2179c7a4a486a3ab1ac376dbdfe763415e7",
    "inference_scheme": "all",
    "device": "gpu"
  },
  "evaluation": {
    "dataset": "nyu-depth",
    "sample_count": 654,
    "primary": {
      "delta1": 0.80724
    },
    "secondary": {
      "abs_rel": 0.14485,
      "rmse": 0.58014
    },
    "protocol": null,
    "eval_data_identity": {
      "annotation_sha256": "cf5550fd19e9b819877df26b761d4922903c4086b485614560bf5dc0def2122a",
      "sample_list_sha256": "7681a8f408fa8c24520f4f61f995ab25037869803543df605d0a0831a47f6f04"
    },
    "identity_audit": "verified",
    "inference_mode": "async",
    "image_tag": "1.3-cpu-ubuntu22.04",
    "image_digest": "sha256:7c25b894fc0807acdf27f15c61b910b96dc66d3f5d97e04b595b2d7a8008e77c"
  },
  "retention_percent": {
    "delta1": 99.20365727768765
  },
  "content_sha256": "8246143cfbfee84ff6f227a9d109f08729e156bb30eb236eb5907c08dc48df2f",
  "attempt_id": "YOLO26x_depth-jinman-coreall-9285d8f18a89",
  "superseded_attempt_ids": [],
  "sha256": "69609cd145f3cb41d883a54ca4072bd68f53608f30a0f356c5a56c8b3df294f5",
  "format": "MXQv7",
  "supported_modes": [
    "single",
    "multi",
    "global4",
    "global8"
  ],
  "size": 64318123,
  "ops_commits": {
    "selection": "fd3ef917cdf31869fa65fdc69e3c727f7e48f50c"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/depth_estimation/YOLO26x_depth",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}