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--- |
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title: Intel OpenVINO Object Detection (model_api) |
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emoji: 📚 |
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colorFrom: blue |
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colorTo: blue |
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sdk: gradio |
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sdk_version: 6.1.0 |
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app_file: app.py |
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pinned: false |
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short_description: Intel OpenVINO™ object detection demo with Intel model_api. |
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tags: |
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- openvino |
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- intel |
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- model-api |
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- object-detection |
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- computer-vision |
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- yolo |
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- gradio |
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- inference |
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- edge-ai |
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models: |
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- Ultralytics/YOLO11 |
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- mgumowsk/YOLO11 |
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--- |
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# Intel OpenVINO™ Object Detection with Intel® model_api |
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Fast, practical computer vision inference in the browser using: |
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- **Intel OpenVINO™ Runtime** for optimized CPU inference |
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- **Intel® OpenVINO Model API (model_api)** for unified preprocessing/postprocessing and task wrappers |
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- **Gradio** for a clean interactive UI |
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This Space supports **image inference** and **video inference** (processed output video), plus a lightweight **performance metrics** readout. |
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## What you can do |
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- Upload an image and run object detection |
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- Upload a video and run frame-by-frame object detection (outputs an annotated video) |
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- Try curated examples for both images and videos |
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## Tech stack (keywords) |
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Intel OpenVINO, Intel model_api, OpenVINO IR (.xml/.bin), YOLO object detection, Gradio demo, computer vision inference, edge AI. |
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## Links |
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- Intel® OpenVINO Model API (GitHub): https://github.com/open-edge-platform/model_api |
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- Model API documentation: https://open-edge-platform.github.io/model_api/latest |
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- Hugging Face Spaces config reference: https://huggingface.co/docs/hub/spaces-config-reference |
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## Notes |
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- Models are loaded from the repository `models/` directory. |
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- Example media is located in `examples/`. |
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