Object Detection
ultralytics
LiteRT
ONNX
LiteRT
Korean
English
yolo
patrol
safety
fire-detection
smoke-detection
edge
quantized
nxp
sf
Eval Results (legacy)
Instructions to use LK-ROBOTICS/nxp-sf-yolo11n-balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use LK-ROBOTICS/nxp-sf-yolo11n-balanced with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("LK-ROBOTICS/nxp-sf-yolo11n-balanced") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - LiteRT
How to use LK-ROBOTICS/nxp-sf-yolo11n-balanced with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| pipeline_tag: object-detection | |
| library_name: ultralytics | |
| license: other | |
| base_model: Ultralytics/YOLO11n | |
| base_model_relation: finetune | |
| datasets: | |
| - LK-ROBOTICS/nxp-sf-train-balanced | |
| tags: | |
| - yolo | |
| - object-detection | |
| - patrol | |
| - safety | |
| - fire-detection | |
| - smoke-detection | |
| - edge | |
| - quantized | |
| - tflite | |
| - litert | |
| - nxp | |
| - sf | |
| language: | |
| - ko | |
| - en | |
| latest_revision: v1 | |
| metrics: | |
| - mAP | |
| model-index: | |
| - name: nxp-sf-yolo11n-balanced-v1 | |
| results: | |
| - task: | |
| type: object-detection | |
| dataset: | |
| name: LK-ROBOTICS/nxp-sf-train-balanced | |
| type: LK-ROBOTICS/nxp-sf-train-balanced | |
| revision: v1 | |
| metrics: | |
| - type: precision | |
| value: 0.80517 | |
| - type: recall | |
| value: 0.7361 | |
| - type: mAP50 | |
| value: 0.78698 | |
| - type: mAP50-95 | |
| value: 0.48807 | |
| # NXP SF YOLO11n Balanced | |
| 이 repo는 stable model family repo이며, 각 model revision은 `revisions/<revision>/` 아래에 저장합니다. | |
| - stable repo: `LK-ROBOTICS/nxp-sf-yolo11n-balanced` | |
| - latest revision: `v1` | |
| - dataset family repo: `LK-ROBOTICS/nxp-sf-train-balanced` | |
| ## Revisions | |
| | revision | path | note | | |
| |---|---|---| | |
| | v1 | `revisions/v1` | current migrated baseline from legacy `nxp-sf-yolo11n-balanced-v1` | | |