Clean up documentation. (#1563)

object_detection/README.md

@@ -34,7 +34,7 @@ https://scholar.googleusercontent.com/scholar.bib?q=info:l291WsrB-hQJ:scholar.go
 Quick Start:
 * <a href='object_detection_tutorial.ipynb'>
       Quick Start: Jupyter notebook for off-the-shelf inference</a><br>
-* <a href="g3doc/running_pets.md">Quick Start: Training on a pet detector</a><br>
+* <a href="g3doc/running_pets.md">Quick Start: Training a pet detector</a><br>
 
 Setup:
 * <a href='g3doc/installation.md'>Installation</a><br>
@@ -66,7 +66,6 @@ release includes:
   * Region-Based Fully Convolutional Networks (R-FCN) with Resnet 101,
   * Faster RCNN with Resnet 101,
   * Faster RCNN with Inception Resnet v2
-  * Mask R-CNN with Resnet 101.
 * Frozen weights (trained on the COCO dataset) for each of the above models to
   be used for out-of-the-box inference purposes.
 * A [Jupyter notebook](object_detection_tutorial.ipynb) for performing

object_detection/g3doc/detection_model_zoo.md

@@ -16,7 +16,7 @@ In the table below, we list each such pre-trained model including:
 * detector performance on COCO data as measured by the COCO mAP measure.
   Here, higher is better, and we only report bounding box mAP rounded to the
   nearest integer.
-* Output types (currently only `Boxes` or `Boxes, Masks`)
+* Output types (currently only `Boxes`)
 
 You can un-tar each tar.gz file via, e.g.,:
 
@@ -40,4 +40,3 @@ Inside the un-tar'ed directory, you will find:
 | [rfcn_resnet101_coco](http://download.tensorflow.org/models/object_detection/rfcn_resnet101_coco_11_06_2017.tar.gz)  | medium | 30 | Boxes |
 | [faster_rcnn_resnet101_coco](http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_coco_11_06_2017.tar.gz) | medium | 32 | Boxes |
 | [faster_rcnn_inception_resnet_v2_atrous_coco](http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_11_06_2017.tar.gz) | slow | 37 | Boxes |
-| [mask_rcnn_resnet101_coco](http://download.tensorflow.org/models/object_detection/) | medium | | Boxes, Masks |