In light of a partnership with the organizations Reef Support and Fruitpunch AI, we designed an image segmentation algorithm. The main challenge here was the way the data is labelled, containing sparse pixel annotations created by domain experts. The blogpost covers on a high level how we solved this challenge, and how the challenge will be going forward.

In this blogpost, we look at object detection using 3D ‘depth’ sensor data. We explain how two recent approaches, VoteNet and 3DETR, tackle the problem and benchmark their performance out of the box and after fine-tuning.