---
layout: default
title: Object Detection
parent: Solutions
nav_order: 7
---
# MediaPipe Object Detection
{: .no_toc }
1. TOC
{:toc}
---
![object_detection_android_gpu.gif](../images/mobile/object_detection_android_gpu.gif)
## Example Apps
Note: To visualize a graph, copy the graph and paste it into
[MediaPipe Visualizer](https://viz.mediapipe.dev/). For more information on how
to visualize its associated subgraphs, please see
[visualizer documentation](../tools/visualizer.md).
### Mobile
Please first see general instructions for
[Android](../getting_started/building_examples.md#android) and
[iOS](../getting_started/building_examples.md#ios) on how to build MediaPipe examples.
#### GPU Pipeline
* Graph:
[`mediapipe/graphs/object_detection/object_detection_mobile_gpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/object_detection/object_detection_mobile_gpu.pbtxt)
* Android target:
[(or download prebuilt ARM64 APK)](https://drive.google.com/open?id=1di2ywCA_acf3y5rIcJHngWHAUNsUHAGz)
[`mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu:objectdetectiongpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu/BUILD)
* iOS target:
[`mediapipe/examples/ios/objectdetectiongpu:ObjectDetectionGpuApp`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/objectdetectiongpu/BUILD)
#### CPU Pipeline
This is very similar to the [GPU pipeline](#gpu-pipeline) except that at the
beginning and the end of the pipeline it performs GPU-to-CPU and CPU-to-GPU
image transfer respectively. As a result, the rest of graph, which shares the
same configuration as the GPU pipeline, runs entirely on CPU.
* Graph:
[`mediapipe/graphs/object_detection/object_detection_mobile_cpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/object_detection/object_detection_mobile_cpu.pbtxt))
* Android target:
[(or download prebuilt ARM64 APK)](https://drive.google.com/open?id=1eRBK6V5Qd1LCRwexitR2OXgrBBXbOfZ5)
[`mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectioncpu:objectdetectioncpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectioncpu/BUILD)
* iOS target:
[`mediapipe/examples/ios/objectdetectioncpu:ObjectDetectionCpuApp`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/objectdetectioncpu/BUILD)
### Desktop
#### Live Camera Input
Please first see general instructions for
[desktop](../getting_started/building_examples.md#desktop) on how to build MediaPipe examples.
* Graph:
[`mediapipe/graphs/object_detection/object_detection_desktop_live.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/object_detection/object_detection_desktop_live.pbtxt)
* Target:
[`mediapipe/examples/desktop/object_detection:object_detection_cpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/object_detection/BUILD)
#### Video File Input
* With a TFLite Model
This uses the same
[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/ssdlite_object_detection.tflite)
(see also
[model info](https://github.com/google/mediapipe/tree/master/mediapipe/models/object_detection_saved_model/README.md))
as in [Live Camera Input](#live-camera-input) above. The pipeline is
implemented in this
[graph](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/object_detection/object_detection_desktop_tflite_graph.pbtxt),
which differs from the live-camera-input CPU-based pipeline
[graph](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/object_detection/object_detection_mobile_cpu.pbtxt)
simply by the additional `OpenCvVideoDecoderCalculator` and
`OpenCvVideoEncoderCalculator` at the beginning and the end of the graph
respectively.
To build the application, run:
```bash
bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/object_detection:object_detection_tflite
```
To run the application, replace `` and `