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In-Cabin Monitoring Systems: It’s Not About the Model, it’s About the Data …and the Process

Event: InCabin USA
| Session date: Wednesday 22nd May
Session date: Wednesday 22nd May
, 2024

Hear from:

"Javier Salado smiling in front of a world map backdrop"
"Javier Salado smiling in front of a world map backdrop"
Javier Salado
Technical Product Manager,

Anyverse

"Javier Salado smiling in front of a world map backdrop"
"Javier Salado smiling in front of a world map backdrop"
Javier Salado
Technical Product Manager,

Anyverse

Deep learning detection models are very well established, and their performance relies mostly on the data you use to train and fine tune the models. We will explore what are the difficulties for teams face to get the data they need, the importance of diversity and accurate ground truth. We will learn how synthetic data can help solve the difficulties establishing a data engineering process instead of a data gathering process. This will allow us to reduce the iterations and iteration time to develop more accurate in-cabin monitoring systems in charge of our safety.

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