102 lines
6.2 KiB
Markdown
102 lines
6.2 KiB
Markdown
---
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layout: default
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title: Models and Model Cards
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parent: Solutions
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nav_order: 30
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---
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# MediaPipe Models and Model Cards
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{: .no_toc }
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1. TOC
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{:toc}
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---
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### [Face Detection](https://google.github.io/mediapipe/solutions/face_detection)
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* Face detection model for front-facing/selfie camera:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_front.tflite),
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[TFLite model quantized for EdgeTPU/Coral](https://github.com/google/mediapipe/tree/master/mediapipe/examples/coral/models/face-detector-quantized_edgetpu.tflite),
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[Model card](https://mediapipe.page.link/blazeface-mc)
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* Face detection model for back-facing camera:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_back.tflite),
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[Model card](https://mediapipe.page.link/blazeface-back-mc)
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* Face detection model for back-facing camera (sparse):
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_back_sparse.tflite),
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[Model card](https://mediapipe.page.link/blazeface-back-sparse-mc)
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### [Face Mesh](https://google.github.io/mediapipe/solutions/face_mesh)
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* Face landmark model:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_landmark/face_landmark.tflite),
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[TF.js model](https://tfhub.dev/mediapipe/facemesh/1)
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* [Model card](https://mediapipe.page.link/facemesh-mc)
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### [Iris](https://google.github.io/mediapipe/solutions/iris)
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* Iris landmark model:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/iris_landmark/iris_landmark.tflite)
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* [Model card](https://mediapipe.page.link/iris-mc)
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### [Hands](https://google.github.io/mediapipe/solutions/hands)
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* Palm detection model:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/palm_detection/palm_detection.tflite),
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[TF.js model](https://tfhub.dev/mediapipe/handdetector/1)
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* Hand landmark model:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/hand_landmark/hand_landmark.tflite),
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[TFLite model (sparse)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/hand_landmark/hand_landmark_sparse.tflite),
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[TF.js model](https://tfhub.dev/mediapipe/handskeleton/1)
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* [Model card](https://mediapipe.page.link/handmc), [Model card (sparse)](https://mediapipe.page.link/handmc-sparse)
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### [Pose](https://google.github.io/mediapipe/solutions/pose)
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* Pose detection model:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_detection/pose_detection.tflite)
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* Pose landmark model:
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[TFLite model (lite)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_lite.tflite),
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[TFLite model (full)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_full.tflite),
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[TFLite model (heavy)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_heavy.tflite)
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* [Model card](https://mediapipe.page.link/blazepose-mc)
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### [Holistic](https://google.github.io/mediapipe/solutions/holistic)
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* Hand recrop model:
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[TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/holistic_landmark/hand_recrop.tflite)
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### [Selfie Segmentation](https://google.github.io/mediapipe/solutions/selfie_segmentation)
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* [TFLite model (general)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/selfie_segmentation/selfie_segmentation.tflite)
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* [TFLite model (landscape)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/selfie_segmentation/selfie_segmentation_landscape.tflite)
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* [Model card](https://mediapipe.page.link/selfiesegmentation-mc)
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### [Hair Segmentation](https://google.github.io/mediapipe/solutions/hair_segmentation)
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* [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hair_segmentation.tflite)
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* [Model card](https://mediapipe.page.link/hairsegmentation-mc)
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### [Object Detection](https://google.github.io/mediapipe/solutions/object_detection)
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* [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/ssdlite_object_detection.tflite)
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* [TFLite model quantized for EdgeTPU/Coral](https://github.com/google/mediapipe/tree/master/mediapipe/examples/coral/models/object-detector-quantized_edgetpu.tflite)
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* [TensorFlow model](https://github.com/google/mediapipe/tree/master/mediapipe/models/object_detection_saved_model)
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* [Model information](https://github.com/google/mediapipe/tree/master/mediapipe/models/object_detection_saved_model/README.md)
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### [Objectron](https://google.github.io/mediapipe/solutions/objectron)
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* [TFLite model for shoes](https://github.com/google/mediapipe/tree/master/mediapipe/modules/objectron/object_detection_3d_sneakers.tflite)
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* [TFLite model for chairs](https://github.com/google/mediapipe/tree/master/mediapipe/modules/objectron/object_detection_3d_chair.tflite)
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* [TFLite model for cameras](https://github.com/google/mediapipe/tree/master/mediapipe/modules/objectron/object_detection_3d_camera.tflite)
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* [TFLite model for cups](https://github.com/google/mediapipe/tree/master/mediapipe/modules/objectron/object_detection_3d_cup.tflite)
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* [Single-stage TFLite model for shoes](https://github.com/google/mediapipe/tree/master/mediapipe/modules/objectron/object_detection_3d_sneakers_1stage.tflite)
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* [Single-stage TFLite model for chairs](https://github.com/google/mediapipe/tree/master/mediapipe/modules/objectron/object_detection_3d_chair_1stage.tflite)
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* [Model card](https://mediapipe.page.link/objectron-mc)
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### [KNIFT](https://google.github.io/mediapipe/solutions/knift)
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* [TFLite model for up to 200 keypoints](https://github.com/google/mediapipe/tree/master/mediapipe/models/knift_float.tflite)
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* [TFLite model for up to 400 keypoints](https://github.com/google/mediapipe/tree/master/mediapipe/models/knift_float_400.tflite)
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* [TFLite model for up to 1000 keypoints](https://github.com/google/mediapipe/tree/master/mediapipe/models/knift_float_1k.tflite)
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* [Model card](https://mediapipe.page.link/knift-mc)
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