# OpenDetect Documentation

```{image} brand/opendetect-header.svg
:alt: OpenDetect
:class: hero-image
```

OpenDetect is an open-source object detection toolkit for Python and CLI workflows, built on ONNX Runtime.

Use this documentation for:

- installation and runtime setup (CPU, CUDA, CoreML, TensorRT, and other ONNX Runtime providers)
- end-to-end usage for Python and CLI users
- benchmark interpretation and reproducibility
- contributor workflows and roadmap notes

```{toctree}
:maxdepth: 2
:caption: Getting Started

getting-started/installation
getting-started/python
getting-started/cli
getting-started/runtimes
```

```{toctree}
:maxdepth: 2
:caption: Guides

guides/model-registry
guides/benchmarks
```

```{toctree}
:maxdepth: 2
:caption: Contributing

contributing/index
contributing/development
```

```{toctree}
:maxdepth: 2
:caption: Reference

reference/python-api
reference/cli-reference
```