ArmDeveloperEcosystem
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diff --git a/‎content/learning-paths/embedded-and-microcontrollers/visualizing-ethos-u-performance/Terminal and FVP Output.jpg‎ renamed to ‎content/learning-paths/embedded-and-microcontrollers/visualizing-ethos-u-performance/terminal_and_fvp_output.jpg‎ b/‎content/learning-paths/embedded-and-microcontrollers/visualizing-ethos-u-performance/Terminal and FVP Output.jpg‎ renamed to ‎content/learning-paths/embedded-and-microcontrollers/visualizing-ethos-u-performance/terminal_and_fvp_output.jpg‎
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@@ -70,7 +70,7 @@ Now run the Mobilenet V2 computer vision model, using [executorch/examples/arm/r
 
 Observe that the FVP loads the model file, compiles the PyTorch model to ExecuTorch `.pte` format and then shows an instruction count in the top right of the GUI:
 
-![Terminal and FVP output#center](./Terminal%20and%20FVP%20Output.jpg "Terminal and FVP output")
+![Terminal and FVP output#center](./terminal_and_fvp_output.jpg "Terminal and FVP output")
 
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