Learn the ins and outs of AI inferencing using a RUBIK Pi 3. Qualcomm Staff Engineer Derrick Johnson will be joined by SWE Intern Shreya Nagunuri to show you how to build unique workflows with both Edge Impulse and TFLite, followed by some serious model optimizations using our SNPE SDK. Tune in live here to ask your questions!
Build Along: AI inferencing on RUBIK Pi with Edge Impulse and TFLite
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Naveen Kumar
4d
The object detection models would probably work better.
Naveen Kumar
4d
Classification models suffer due to lighting conditions.
Research Engineer-ML at National Edge AI Hub | GSoC’25 @Kubeflow | Python, Cloud, MLOps, Edge AI
4dis it few-shot learning on mobilenetv2 with few images of pen or retrain the pretrained mobilenet model? I guess, I missed it if you mentioned it earlier.