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mobilint/YOLO11n-seg
YOLO11n-seg is a image segmentation model from mobilint. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. 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/instancesegmentation/YOLO11nseg). It was compiled by qbcompiler 1.4.0 in the image mobi…
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.onnx11.7 MB · 64%
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/instance_segmentation/YOLO11n_seg). 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 coco (5000 samples): map50_95 0.31437, map50 0.50618. Only the evaluated core mode was measured.
SHA-256: 2a0de1a2f71a53853882713a02d1f0d04f43804fb23aed152ad797fd53918b50 (6542571 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": "YOLO11n_seg",
"variant": "c0923-qronos",
"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": "coco",
"sample_count": 5000,
"primary": {
"map50_95": 0.31437
},
"secondary": {
"map50": 0.50618
},
"protocol": null,
"eval_data_identity": {
"annotation_sha256": "bb2d6616fc8d4997b29e8b8d2cb8bdd5cf665d2b1df2f7462bbfb4fb8726840b",
"sample_list_sha256": "6c41bd9b7ff87cbc3e420952fae89c0f242167ae3929f226a1a0ddafd0eaad5c"
},
"identity_audit": "verified",
"inference_mode": "async",
"image_tag": "1.4-cpu-ubuntu22.04",
"image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
},
"retention_percent": {
"map50_95": 98.90203234128234
},
"content_sha256": "9ef627cf817cf5ad7ff59d4d2caf16b8c142826c42d717cd5e2d0b389c979349",
"attempt_id": "YOLO11n_seg-jinman-coreall-9bd4ebb29cb2",
"superseded_attempt_ids": [],
"sha256": "2a0de1a2f71a53853882713a02d1f0d04f43804fb23aed152ad797fd53918b50",
"format": "MXQv7",
"supported_modes": [
"single",
"multi",
"global4",
"global8"
],
"size": 6542571,
"ops_commits": {
"selection": "73a10fd6b7b66d2f683ccb644ee3aa9e9389ec23"
},
"arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/instance_segmentation/YOLO11n_seg",
"publication": {
"status": "public",
"reason": "approved"
}
}