CLIP_ReID_ViT_B_16_Market1501

aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/person_reid/CLIP_ReID_ViT_B_16_Market1501). 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 market1501 (19281 samples): map 0.89456, rank1 0.95368, rank10 0.9908, rank5 0.98456. Only the evaluated core mode was measured.

SHA-256: e108b2ce8890f780a11156f0fd864056f8cf197e03c068fa90676a6b3a930d2a (129764456 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": "CLIP_ReID_ViT_B_16_Market1501",
  "variant": "baseline-rerun",
  "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": "market1501",
    "sample_count": 19281,
    "primary": {
      "map": 0.89456
    },
    "secondary": {
      "rank1": 0.95368,
      "rank10": 0.9908,
      "rank5": 0.98456
    },
    "protocol": null,
    "eval_data_identity": {
      "annotation_sha256": "4414d3b1faee7ca8829d557c7cfa2ce36b646b51fab2816b7cf9f5f3741c3738",
      "sample_list_sha256": "3b2d498829cd22e139edcb1937dcadca38a781f047b25ccc2415956e1eabb21d"
    },
    "identity_audit": "verified",
    "inference_mode": "async",
    "image_tag": "1.3-cpu-ubuntu22.04",
    "image_digest": "sha256:7c25b894fc0807acdf27f15c61b910b96dc66d3f5d97e04b595b2d7a8008e77c"
  },
  "retention_percent": {
    "map": 99.78137687948959
  },
  "content_sha256": "24fcda2bb535d5474946b408638d3b645ffba994259389c41275a671e0b100cd",
  "attempt_id": "CLIP_ReID_ViT_B_16_Market1501-jinman-reg-20261019t135421-3e1a3c",
  "superseded_attempt_ids": [],
  "sha256": "e108b2ce8890f780a11156f0fd864056f8cf197e03c068fa90676a6b3a930d2a",
  "format": "MXQv7",
  "supported_modes": [
    "single",
    "multi",
    "global4",
    "global8"
  ],
  "size": 129764456,
  "ops_commits": {
    "selection": "1b2e35efa71e2aca5b406313b089267e14d65b77"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/person_reid/CLIP_ReID_ViT_B_16_Market1501",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support