[D] How to generate bounding boxes and masks at scale
I’m training an instance segmentation model and it’s not doing great, but tests indicate that with a larger dataset performance improves. I thus need to accelerate the process of generating bounding boxes and segmentation masks for new images. Are there tools which can help me? https://arxiv.org/pdf/1903.10830.pdf says they developed a pipeline to speedup annotation, but I don’t think they released any tool.