I am currently working on a project that involves training models on point cloud data to use it on our systems. I have gone through the documentation but still have some questions regarding the preparation and annotation of custom point cloud datasets.
My Objective:
I aim to train a model on my custom categories for object detection and segmentation tasks. What would it be the best approach to be able to label and prepare our dataset? Do you have any tool that you are using for this purpose?
Hello NVIDIA Team,
I am currently working on a project that involves training models on point cloud data to use it on our systems. I have gone through the documentation but still have some questions regarding the preparation and annotation of custom point cloud datasets. My Objective:
I aim to train a model on my custom categories for object detection and segmentation tasks. What would it be the best approach to be able to label and prepare our dataset? Do you have any tool that you are using for this purpose?
Thanks in advance