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README.md
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The app captures RGB frames and LiDAR depth via ARKit and streams them to a cloud-hosted WildDet3D inference endpoint. It supports multiple interaction modes: open-vocabulary text queries, 2D bounding box prompts for geometric detection, and real-time camera-based inference. Detected 3D boxes are rendered as AR overlays anchored to the physical scene using ARKit world tracking.
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## License
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[Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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The app captures RGB frames and LiDAR depth via ARKit and streams them to a cloud-hosted WildDet3D inference endpoint. It supports multiple interaction modes: open-vocabulary text queries, 2D bounding box prompts for geometric detection, and real-time camera-based inference. Detected 3D boxes are rendered as AR overlays anchored to the physical scene using ARKit world tracking.
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**Note:** The model currently runs on a remote server — the app sends frames to a cloud-hosted API and receives 3D detection results back. On-device inference is not yet supported.
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## License
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[Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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