Depth vs RGB Detection
Viscando AB · Jönköping University · Mar – May 2024
The same detector trained on depth maps and on RGB, evaluated head to head.
Depth vs RGB DetectionApplied AI Project · visuals coming soon
A controlled comparison for Viscando AB: what is a depth image worth to a detector? YOLOv5 trained on RGB and on depth maps of the same scenes, then evaluated head to head.
KITTI stereo pairs converted to depth maps supplied the depth dataset, with OpenCV doing the conversion work.
What it does
- YOLOv5 trained separately on RGB and depth representations.
- KITTI stereo data converted to depth maps with OpenCV.
- Head to head evaluation of detection and classification quality.
Stack
← Back to portfolioYOLOv5OpenCVKITTIStereo VisionPython