Project import generated by Copybara.

GitOrigin-RevId: aaca5c37abcf8b7a6c3c28804739afdbad46e704

mediapipe/models/README.md

@@ -5,7 +5,7 @@
   * For back-facing cameras: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_back.tflite)
   * [Model page](https://sites.google.com/corp/view/perception-cv4arvr/blazeface)
   * Paper: ["BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs"](https://arxiv.org/abs/1907.05047)
-  * [Model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq)
+  * [Model card](https://mediapipe.page.link/blazeface-mc)
 
 ### Face Mesh
   * Face detection: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_front.tflite) (see above)
@@ -14,12 +14,12 @@
   * Paper: ["Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs"](https://arxiv.org/abs/1907.06724)
   * [Google AI Blog post](https://ai.googleblog.com/2019/03/real-time-ar-self-expression-with.html)
   * [TensorFlow Blog post](https://blog.tensorflow.org/2020/03/face-and-hand-tracking-in-browser-with-mediapipe-and-tensorflowjs.html)
-  * [Model card](https://drive.google.com/file/d/1VFC_wIpw4O7xBOiTgUldl79d9LA-LsnA/view)
+  * [Model card](https://mediapipe.page.link/facemesh-mc)
 
 ### Hand Detection and Tracking
   * Palm detection: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/palm_detection.tflite), [TF.js model](https://tfhub.dev/mediapipe/handdetector/1)
   * 3D hand landmarks: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hand_landmark.tflite), [TF.js model](https://tfhub.dev/mediapipe/handskeleton/1)
-  * [Google AI Blog post](https://mediapipe.page.link/handgoogleaiblog)
+  * [Google AI Blog post](https://ai.googleblog.com/2019/08/on-device-real-time-hand-tracking-with.html)
   * [TensorFlow Blog post](https://blog.tensorflow.org/2020/03/face-and-hand-tracking-in-browser-with-mediapipe-and-tensorflowjs.html)
   * [Model card](https://mediapipe.page.link/handmc)
 
@@ -42,14 +42,14 @@
     [BlazePose: On-device Real-time Body Pose Tracking](https://arxiv.org/abs/2006.10204)
     ([presentation](https://youtu.be/YPpUOTRn5tA))
   * Google AI Blog:
-    [BlazePose - On-device Real-time Body Pose Tracking](https://mediapipe.page.link/blazepose-blog)
+    [BlazePose - On-device Real-time Body Pose Tracking](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html)
   * [Model card](https://mediapipe.page.link/blazepose-mc)
 
 ### Hair Segmentation
   * [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hair_segmentation.tflite)
   * [Model page](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation)
   * Paper: ["Real-time Hair segmentation and recoloring on Mobile GPUs"](https://arxiv.org/abs/1907.06740)
-  * [Model card](https://drive.google.com/file/d/1lPwJ8BD_-3UUor4LayQ0xpa_RIC_hoRh/view)
+  * [Model card](https://mediapipe.page.link/hairsegmentation-mc)
 
 ### Objectron (3D Object Detection)
   * Shoes: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/object_detection_3d_sneakers.tflite)
@@ -64,6 +64,6 @@
   * Up to 200 keypoints: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/knift_float.tflite)
   * Up to 400 keypoints: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/knift_float_400.tflite)
   * Up to 1000 keypoints: [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/knift_float_1k.tflite)
-  * [Google Developers Blog post](https://mediapipe.page.link/knift)
+  * [Google Developers Blog post](https://developers.googleblog.com/2020/04/mediapipe-knift-template-based-feature-matching.html)
   * [Model card](https://mediapipe.page.link/knift-mc)