Join us at Open Data Science Conference

from the 1st to the 2nd of November | San Francisco, California

ODSC is comprehensive and totally community-focused: it's the conference to engage, to build, to develop, and to learn from the whole data science community.

Session

XXXXXXX - 2:30 PM BST

Improving Predictions on High-Resolution Aerial Video Using Multi-Stage Convolutional Neural Networks

The future of sophisticated robotic automation will rely upon several specialized machine learning models, sometimes referred to as a mixture of experts or multi-stage models, that work in tandem to achieve a goal. The value of these complex systems comes from improved performance in meeting the objective. We will detail an example of how multi-stage models can be used for accurate predictions on high-resolution aerial imagery ingested and processed in real-time. The input in this case is a high-resolution video feed from an unmanned aerial vehicle (i.e. a drone). Achieving accurate predictions on high-resolution imagery is difficult when the input is resized, which is a common practice for many well-known computer vision models. We’ll use two models that specialize in localization and classification, respectively. We will observe how this divide-conquer strategy enables accurate classifications of high-resolution images and reduces localization error.

Further reading

Reach New Heights as a Data Scientist

SAS® and Open Source Integration

First step towards ethical AI

Ethics in AI: 2 sides of the same coin

What successful drug development teaches us about responsible AI

How do we practice responsible AI?

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