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Episode 153 | Everything that Moves will be Autonomous

The Road to Autonomy

CHAPTER

Transfer Learning and Object Recognition

This chapter discusses the concept of transfer learning in relation to object recognition. The speakers explain the variability in perceiving objects based on different models and hardware, comparing it to wearing different glasses. They also highlight the analytical capabilities of the Scene Box platform in determining model transferability.

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