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Rebuild object docs (#23570)

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* Rebuild object docs

* Tweak styling and fix mixing tabs

* Fix warning

* Cleanup styling
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Nicolas Mowen
2026-06-26 06:48:42 -06:00
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parent cbf6d032cb
commit accbab7afc
6 changed files with 831 additions and 1656 deletions
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docs/docs/configuration/object_detectors.md
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docs/docs/frigate/hardware.md
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@@ -68,26 +68,26 @@ Frigate supports multiple different detectors that work on different types of ha
**AMD**
- [ROCm](#rocm---amd-gpu): ROCm can run on AMD Discrete GPUs to provide efficient object detection
- [Supports limited model architectures](../../configuration/object_detectors#rocm-supported-models)
- [Supports limited model architectures](../../configuration/object_detectors#amdrocm-gpu-detector)
- Runs best on discrete AMD GPUs
**Apple Silicon**
- [Apple Silicon](#apple-silicon): Apple Silicon is usable on all M1 and newer Apple Silicon devices to provide efficient and fast object detection
- [Supports primarily ssdlite and mobilenet model architectures](../../configuration/object_detectors#apple-silicon-supported-models)
- [Supports primarily ssdlite and mobilenet model architectures](../../configuration/object_detectors#apple-silicon-detector)
- Runs well with any size models including large
- Runs via ZMQ proxy which adds some latency, only recommended for local connection
**Intel**
- [OpenVino](#openvino---intel): OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel NPUs to provide efficient object detection.
- [Supports majority of model architectures](../../configuration/object_detectors#openvino-supported-models)
- [Supports majority of model architectures](../../configuration/object_detectors#openvino-detector)
- Runs best with tiny, small, or medium models
**Nvidia**
- [Nvidia GPU](#nvidia-gpus): Nvidia GPUs can provide efficient object detection.
- [Supports majority of model architectures via ONNX](../../configuration/object_detectors#onnx-supported-models)
- [Supports majority of model architectures via ONNX](../../configuration/object_detectors#onnx)
- Runs well with any size models including large
- <CommunityBadge /> [Jetson](#nvidia-jetson): Jetson devices are supported via the TensorRT or ONNX detectors when running Jetpack 6.