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Update instance-segmentation tutorial documentation #2082

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Fix some indent
harimkang committed Apr 27, 2023

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commit d5c00993f3a95b73d072b4c0bff8d34bdb20a86e
Original file line number Diff line number Diff line change
@@ -69,11 +69,9 @@ This dataset contains images of grapevines with the annotation for different var
- ``SVB`` - Sauvignon Blanc
- ``SYH`` - Syrah

It's a great example to start with. The model achieves high accuracy right from the beginning of the training due to relatively large and focused objects. Also, these objects are distinguished by a person, so we can check inference results just by looking at images.

|

.. image:: ../../../../../utils/images/wgisd_gt_sample.jpg
.. image:: ../../../../../utils/images/wgisd_dataset_sample.jpg
:width: 600
:alt: this image uploaded from this `source <https://github.com/thsant/wgisd/blob/master/data/CDY_2015.jpg>`_

@@ -168,7 +166,7 @@ Let's prepare an OpenVINO™ Training Extensions instance segmentation workspace

.. code-block::

(otx) ...$ otx build --task instance_segmentation --model <Model-Name>
(otx) ...$ otx build --task instance_segmentation --model <Model-Name>

It will create **otx-workspace-INSTANCE_SEGMENTATION** with all necessary configs for MaskRCNN-ResNet50, prepared ``data.yaml`` to simplify CLI commands launch and splitted dataset.