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![Real-time Face Detection](mediapipe/docs/images/realtime_face_detection.gif) ![Real-time Face Detection](mediapipe/docs/images/realtime_face_detection.gif)
> "<em>MediaPipe has made it extremely easy to build our 3D person pose reconstruction demo app, facilitating accelerated neural network inference on device and synchronization of our result visualization with the video capture stream. Highly recommended!</em>" - George Papandreou, CTO, [Ariel AI](https://arielai.com)
## ML Solutions in MediaPipe ## ML Solutions in MediaPipe
* [Hand Tracking](mediapipe/docs/hand_tracking_mobile_gpu.md) * [Hand Tracking](mediapipe/docs/hand_tracking_mobile_gpu.md)

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Here are descriptions of the models used in the [example applications](../docs/examples.md). Here are descriptions of the models used in the [example applications](../docs/examples.md).
### Object Detection ### Object Detection
For details on the models, see [here](object_detection_saved_model/README.md). * [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/ssdlite_object_detection.tflite)
* See [here](object_detection_saved_model/README.md) for model details.
* [Object Detection on Desktop](../docs/object_detection_desktop.md) ### Face Detection
* [Object Detection on GPU on Android](../docs/object_detection_android_gpu.md) * [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_front.tflite)
* [Object Detection on CPU on Android](../docs/object_detection_android_cpu.md) * Paper: ["BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/blazeface)
* [Model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq)
### BlazeFace face detection model ### Hand Detection and Tracking
* [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_front.tflite) * [Palm detection TfLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/palm_detection.tflite)
* Paper: ["BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/blazeface) * [2D hand landmark TfLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hand_landmark.tflite)
* Model card: [BlazeFace model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq) * [3D hand landmark TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hand_landmark_3d.tflite)
* [Google AI Blog post](https://mediapipe.page.link/handgoogleaiblog)
### Hair segmentation model * [Model card](https://mediapipe.page.link/handmc)
* [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hair_segmentation.tflite)
* Paper: ["Real-time Hair segmentation and recoloring on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation)
* Model card: [Hair segmentation model card](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation#h.p_NimuO7PgHxlY)
### Hair Segmentation
* [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hair_segmentation.tflite)
* Paper: ["Real-time Hair segmentation and recoloring on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation)
* [Model card](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation#h.p_NimuO7PgHxlY)