diff --git a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md index 11792e7..2943e73 100644 --- a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md +++ b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md @@ -3,7 +3,7 @@
[[/images/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode/quadAndSingle.png]]
This season's inference model can recognize and track a stack of four rings or a single ring.
-For this season's challenge, the inference model was trained to recognize a single Ultimate Goal ring. The model was also trained to recognize a stack of four rings. This was done since it is easier to train a model to distinguish between a single and quadruple ring stack, rather than training a model that can reliably distinguish the individual rings of a multi-ring stack. +For this season's challenge, the inference model was trained to recognize a single Ultimate Goal ring. The model was also trained to recognize a stack of four rings. This approach was adopted since it is easier to train a model to distinguish between a single and quadruple ring stack, rather than training a model that can reliably distinguish the individual rings of a multi-ring stack. ### How Might a Team Use TensorFlow in the Ultimate Goal Challenge? For this season's challenge, during the pre-Match stage a single die is rolled and the field is randomized.