remove current images from object detection deployment use case example

Author: markurtz

src/content/use-cases/object-detection/deploying.mdx

@@ -138,13 +138,6 @@ deepsparse.object_detection.annotate --source basilica.jpg #Try --source 0 to an
 
 Running the above command will create an `annotation-results` folder and save the annotated image inside.
 
-<p align = "center">
-  <img src="sample_images/basilica.jpg" alt="original" width="400"/> <img src="sample_images/basilica-annotated.jpg" alt="annotated" width="400"/>
-</p>
-<p align = "center">
-  Image annotated with 96% sparse YOLOv5s
-</p>
-
 If a `--model_filepath` arg isn't provided, then `zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned-aggressive_96` will be used by default.
 
 
@@ -194,4 +187,4 @@ deepsparse.benchmark \
 ```
 
 To learn more about benchmarking, refer to the appropriate documentation.
-Also, check out our [Benchmarking Tutorial on GitHub](https://github.com/neuralmagic/deepsparse/tree/main/src/deepsparse/benchmark)!
+Also, check out our [Benchmarking Tutorial on GitHub](https://github.com/neuralmagic/deepsparse/tree/main/src/deepsparse/benchmark)!