Merged commit includes the following changes: (#8830)

320622111  by rathodv:

    Internal Change.

--

PiperOrigin-RevId: 320622111
Co-authored-by: TF Object Detection Team <no-reply@google.com>

research/object_detection/g3doc/instance_segmentation.md

@@ -67,7 +67,7 @@ your own models:
 1.  <a href="https://github.com/tensorflow/models/blob/master/research/object_detection/samples/configs/mask_rcnn_resnet50_atrous_coco.config" target=_blank>mask_rcnn_resnet50_atrous_coco</a>
 1.  <a href="https://github.com/tensorflow/models/blob/master/research/object_detection/samples/configs/mask_rcnn_inception_v2_coco.config" target=_blank>mask_rcnn_inception_v2_coco</a>
 
-For more details see the [detection model zoo](detection_model_zoo.md).
+For more details see the [detection model zoo](tf1_detection_zoo.md).
 
 ### Updating a Faster R-CNN config file
 

research/object_detection/g3doc/oid_inference_and_evaluation.md

@@ -113,10 +113,10 @@ computations on subsets of the validation and test sets.
 ## Inferring detections
 
 Inference requires a trained object detection model. In this tutorial we will
-use a model from the [detections model zoo](detection_model_zoo.md), which can
+use a model from the [detections model zoo](tf1_detection_zoo.md), which can
 be downloaded and unpacked by running the commands below. More information about
 the model, such as its architecture and how it was trained, is available in the
-[model zoo page](detection_model_zoo.md).
+[model zoo page](tf1_detection_zoo.md).
 
 ```bash
 # From tensorflow/models/research/oid