FOMO provides the location of target objects in an image but does not give arbitrary bounding box information about the size or distance of objects. As a result, it requires up to 30x less processing power and memory than MobileNet V2 SSD or YOLOv5. In this webinar, we will describe object detection, how FOMO works, and provide a live demonstration of constrained object detection on a microcontroller.
The webinar will take place on September 6, 2022, at 17:00pm (UK Time).
Join this webinar to learn more about:
- Overview of popular image processing techniques using machine learning
* Image classification
* Object detection
* Image segmentation
- Constrained object detection (FOMO)
* Architecture
* Use cases
* Limitations
- FOMO demo with OpenMW
Register and ask engaging questions during the webinar for a chance to win a Nicla Vision Board!
Following the presentation, there will be a short quiz to test your knowledge. Complete the quiz and watch the presentation live or watch the recording On Demand to earn a certificate.
Edge Impulse is a development platform for embedded machine learning, used by over 1,000 enterprises across 45,000 ML projects worldwide. Edge Impulse specialises in industrial and professional applications including predictive maintenance, asset tracking and monitoring, and human and animal sensing.
