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mobilint/YOLOv5n6
YOLOv5n6 is a object detection model from mobilint. Use it when you need objects located in an image. It is set up for mobilint. The card lists the license as agpl-3.0.
aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/objectdetection/YOLOv5n6). It was compiled by qbcompiler 1.4.0 in the image mobilint/qb…
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From the Hugging Face model README
aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/object_detection/YOLOv5n6). 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 0.35229, map50 0.53624. Only the evaluated core mode was measured.
SHA-256: b037afa45082333d773e6c2c00bfbaa017adec180a31c56140d82369252e5ada (4533504 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": "YOLOv5n6",
"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": "single",
"device": "gpu"
},
"evaluation": {
"dataset": "coco",
"sample_count": 5000,
"primary": {
"map50_95": 0.35229
},
"secondary": {
"map50": 0.53624
},
"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": 98.1418542455984
},
"content_sha256": "0a0776e0ecb059fd1b191536370aa702936067a87e7385e87358a61b1bd59885",
"attempt_id": "srcmodes15-yolov5n6-20261012t112542",
"superseded_attempt_ids": [],
"sha256": "b037afa45082333d773e6c2c00bfbaa017adec180a31c56140d82369252e5ada",
"format": "MXQv7",
"supported_modes": [
"single"
],
"size": 4533504,
"ops_commits": {
"selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
},
"arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/object_detection/YOLOv5n6",
"publication": {
"status": "public",
"reason": "approved"
}
}