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mobilint/YOLOv5x6
YOLOv5x6 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/YOLOv5x6). It was compiled by qbcompiler 1.3.0 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/YOLOv5x6). 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 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 0.54173, map50 0.72127. Only the evaluated core mode was measured.
SHA-256: 66430a5be486591ee5fd794d9653aa6a97e0aec9d65e01eaa4d4f2fe263190ae (148707824 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": "YOLOv5x6",
"variant": "gptq",
"qbcompiler": "1.3.0",
"qbruntime": "1.5.0",
"compile": {
"image_tag": "1.3-cuda12.8.1-ubuntu22.04",
"image_digest": "sha256:6ad69aaa9581487ac6a1864b88d4c2179c7a4a486a3ab1ac376dbdfe763415e7",
"inference_scheme": "single",
"device": "gpu"
},
"evaluation": {
"dataset": "coco",
"sample_count": 5000,
"primary": {
"map50_95": 0.54173
},
"secondary": {
"map50": 0.72127
},
"protocol": null,
"eval_data_identity": null,
"identity_audit": "absent",
"inference_mode": "async",
"image_tag": "1.3-cpu-ubuntu22.04",
"image_digest": "sha256:7c25b894fc0807acdf27f15c61b910b96dc66d3f5d97e04b595b2d7a8008e77c"
},
"retention_percent": {
"map50_95": 99.02208086568692
},
"content_sha256": "22c13e1f77b6d51662058c137455b045a5480a078e0866d5a31a2561374b55ea",
"attempt_id": "srcmodes15-yolov5x6-20261012t112542",
"superseded_attempt_ids": [],
"sha256": "66430a5be486591ee5fd794d9653aa6a97e0aec9d65e01eaa4d4f2fe263190ae",
"format": "MXQv7",
"supported_modes": [
"single"
],
"size": 148707824,
"ops_commits": {
"selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
},
"arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/object_detection/YOLOv5x6",
"publication": {
"status": "public",
"reason": "approved"
}
}