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MediaPipe Team 2020-11-04 20:06:55 -05:00 committed by chuoling
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docs/solutions/objectron.md
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@ -20,7 +20,7 @@ through a machine learning (ML) model, trained on a newly created 3D dataset.
![objectron_shoe_android_gpu.gif](../images/mobile/objectron_shoe_android_gpu.gif) | ![objectron_chair_android_gpu.gif](../images/mobile/objectron_chair_android_gpu.gif) | ![objectron_camera_android_gpu.gif](../images/mobile/objectron_camera_android_gpu.gif) | ![objectron_cup_android_gpu.gif](../images/mobile/objectron_cup_android_gpu.gif)
:--------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------:
*Fig 1a. Shoe Objectron* | *Fig 1b. Camera Objectron* | *Fig 1c. Camera Objectron* | *Fig 1d. Cup Objectron*
*Fig 1a. Shoe Objectron* | *Fig 1b. Chair Objectron* | *Fig 1c. Camera Objectron* | *Fig 1d. Cup Objectron*
Object detection is an extensively studied computer vision problem, but most of
the research has focused on