Faced with the daunting task of hand labeling thousands of images, developers are looking for an easier way to train their object detection models. Currently, it takes 200-500 samples of hand-labeled images for a model to detect one specific object. Autolabeling images speeds the process and gives developers back valuable time to work on other innovative projects.
Source : https://developer.ibm.com/blogs/ibm-cloud-annotations-tool-eases-the-process-of-ai-data-labeling/
Date : January 30, 2020 at 04:30PM
Tag(s) : #AI ENG
