Instructions to use mobilint/YOLO11n-obb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLO11n-obb with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLO11n-obb", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
YOLO11n_obb
aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/obb/YOLO11n_obb). 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 dotav1 (458 samples): map50 0.67229, map50_95 0.52257. Only the evaluated core mode was measured.
SHA-256: 336bc0f8b5f149052707b967dabf7877d3dacb37c22a1bdf9c0221dfab52ecb1 (6724950 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_obb",
"variant": "asym",
"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": "dotav1",
"sample_count": 458,
"primary": {
"map50": 0.67229
},
"secondary": {
"map50_95": 0.52257
},
"protocol": "dotav1-ignore-difficult.v1",
"eval_data_identity": {
"annotation_sha256": "3173a5b844abbba4ab8f989273e03620ea9297d44c04483b5523131903fde438",
"sample_list_sha256": "e402c8faa8af9563e216f7abd023b7de93cc56813cd383261dfbe8b5312dbc32"
},
"identity_audit": "verified",
"inference_mode": "async",
"image_tag": "1.3-cpu-ubuntu22.04",
"image_digest": "sha256:7c25b894fc0807acdf27f15c61b910b96dc66d3f5d97e04b595b2d7a8008e77c"
},
"retention_percent": {
"map50": 99.83071737225845
},
"content_sha256": "2094bebce6c1ebd4c836e3a2f2b72badb2173bc5d1d63cb36f48edf1394209d0",
"attempt_id": "YOLO11n_obb-jinman-coreall-1eb79ad9f9b3",
"superseded_attempt_ids": [],
"sha256": "336bc0f8b5f149052707b967dabf7877d3dacb37c22a1bdf9c0221dfab52ecb1",
"format": "MXQv7",
"supported_modes": [
"single",
"multi",
"global4",
"global8"
],
"size": 6724950,
"ops_commits": {
"selection": "fd3ef917cdf31869fa65fdc69e3c727f7e48f50c"
},
"arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/obb/YOLO11n_obb",
"publication": {
"status": "public",
"reason": "approved"
}
}
- Downloads last month
- 19
Model tree for mobilint/YOLO11n-obb
Base model
Ultralytics/YOLO11