Fall Research Expo 2021
SOLO V1: Detecting, and Segmenting Objects
We implemented SOLO V1, an algorithm for detecting, classifying, and segmenting objects in images. We focused on images that contained procedurally generated shapes as a good testing ground for the implementation. Our goal was to develop our understanding of object detection and segmentation.
PRESENTED BY
PURM - Penn Undergraduate Research Mentoring Program
Engineering & Applied Sciences 2024
Advised By
PRESENTED BY
PURM - Penn Undergraduate Research Mentoring Program
Engineering & Applied Sciences 2024
Advised By
Comments
It would be interesting to…
It would be interesting to know what was the result of the algorithm that was implemented. How accurate was it and how fast compared to similar algorithms?