Update ai-tools.md

site/content/en/docs/manual/advanced/ai-tools.md

@@ -201,6 +201,7 @@ see {{< ilink "/docs/manual/advanced/automatic-annotation" "Automatic annotation
 
 | Model                          | Description                                                                                                                                                                                                                                                                                                                                                                                                                    |
 | ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| Mask RCNN                      | The model generates polygons for each instance of an object in the image. <br><br> For more information, see: <li>[GitHub: Mask RCNN](https://github.com/matterport/Mask_RCNN) <li>[Paper: Mask RCNN](https://arxiv.org/pdf/1703.06870.pdf)                                                                                                                                                                                    |
 | Faster RCNN                    | The model generates bounding boxes for each instance of an object in the image. <br>In this model, RPN and Fast R-CNN are combined into a single network. <br><br> For more information, see: <li>[GitHub: Faster RCNN](https://github.com/ShaoqingRen/faster_rcnn) <li>[Paper: Faster RCNN](https://arxiv.org/pdf/1506.01497.pdf)                                                                                             |
 | YOLO v3                        | YOLO v3 is a family of object detection architectures and models pre-trained on the COCO dataset. <br><br> For more information, see: <li>[GitHub: YOLO v3](https://github.com/ultralytics/yolov3) <li>[Site: YOLO v3](https://docs.ultralytics.com/#yolov3) <li>[Paper: YOLO v3](https://arxiv.org/pdf/1804.02767v1.pdf)                                                                                                      |
 | Semantic segmentation for ADAS | This is a segmentation network to classify each pixel into 20 classes. <br><br> For more information, see: <li>[Site: ADAS](https://docs.openvino.ai/2019_R1/_semantic_segmentation_adas_0001_description_semantic_segmentation_adas_0001.html)                                                                                                                                                                                |