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.
- Robert Blanchard
Principal Data Scientist, SAS