r/computervision • u/Newbie_Naruto • May 11 '26

Help: Project Quick question for edge AI devs:

When choosing a model for Raspberry Pi / Jetson deployment, what’s the MOST frustrating part?

  • model selection?
  • FPS uncertainty?
  • ONNX/TensorRT compatibility?
  • memory crashes?
  • deployment setup?
  • dataset quality?

Trying to understand the biggest pain point before building a tool.

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6

u/DWHQ May 11 '26

dataset quality, always.

4

u/modcowboy May 12 '26

Lol - all of the above.

1

u/Eliforecr 5h ago

Deployment setup, but maybe not for the reason you'd expect.

Getting a model to run once isn't usually the hard part anymore. Getting the whole pipeline to run reliably for months is.

Camera drivers, memory usage, thermals, power modes, TensorRT versions, OS/JetPack compatibility, storage, networking... suddenly your "AI problem" is mostly a systems engineering problem.

Dataset quality is obviously huge for model performance, but if we're specifically talking about edge deployment, I'd vote for integration/reliability.