YOLO26s_depth

aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/depth_estimation/YOLO26s_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 single, so it supports the core mode(s) single only.

It was evaluated with qbruntime 1.5.0 in async inference mode on nyu-depth (654 samples): delta1 0.75462, abs_rel 0.16996, rmse 0.62293. Only the evaluated core mode was measured.

SHA-256: ff87d4f150be6886636d82f469de16b31ddd9989e906aa6ae0059f72f86501f5 (13686291 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": "YOLO26s_depth",
  "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": "nyu-depth",
    "sample_count": 654,
    "primary": {
      "delta1": 0.75462
    },
    "secondary": {
      "abs_rel": 0.16996,
      "rmse": 0.62293
    },
    "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": {
    "delta1": 98.61606617791195
  },
  "content_sha256": "6e5ca98fb2d5792fd19b59cdb3e3910e2fc9b6ca599c6596efabf356788e71ca",
  "attempt_id": "srcmodes10-yolo26s-depth-20261010t175053",
  "superseded_attempt_ids": [],
  "sha256": "ff87d4f150be6886636d82f469de16b31ddd9989e906aa6ae0059f72f86501f5",
  "format": "MXQv7",
  "supported_modes": [
    "single"
  ],
  "size": 13686291,
  "ops_commits": {
    "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/depth_estimation/YOLO26s_depth",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}
Downloads last month
9
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for mobilint/YOLO26s-depth

Quantized
(58)
this model

Collection including mobilint/YOLO26s-depth