Instructions to use mobilint/YOLO11s-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLO11s-seg with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLO11s-seg", 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
Commit ·
f8f33e7
1
Parent(s): 3c4fd28
feat: Add ARIES model artifacts
Browse files- aries/best_result.json +1 -0
- aries/yolo11s-seg.mxq +3 -0
aries/best_result.json
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{"acc": 0.3737860153866996, "timestamp": 1776262971, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "03922186", "date": "2026-04-15_23-22-51", "time_this_iter_s": 1552.3966436386108, "time_total_s": 1552.3966436386108, "pid": 550319, "hostname": "05a26c61d56d", "node_ip": "172.17.0.3", "config": {"percentile": 0.00041645509579496363, "topk": 0.006820497274669816}, "time_since_restore": 1552.3966436386108, "iterations_since_restore": 1, "experiment_tag": "4_percentile=0.0004,topk=0.0068"}
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aries/yolo11s-seg.mxq
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version https://git-lfs.github.com/spec/v1
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oid sha256:0420b2b0ec0f1f48cfc02be96d94a84a938168e4342cfeeb7fa4837ec7ad35d1
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size 13671280
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