Archives for data labelling

15 Jul

How Does Crowdsourcing Data Labelling Work?

For AI-based software to work well in the real world, a large amount of high-quality data is required to train the system. The biggest problem with data preprocessing is labelling. It is both a time and resource-intensive process. A study found that data scientists spend about 80 percent of their time preprocessing data on average,…

The post How Does Crowdsourcing Data Labelling Work? appeared first on Analytics India Magazine.

13 May

Guide To labelCloud: A Python Tool for Annotating 3D Point Clouds

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image-22545

3D deep learning finds crucial applications nowadays in many domains, including robotics, autonomous driving, virtual reality, and medical diagnosis. The 3D data required for training is collected using 3D sensors such as LiDAR (Light Detection And Ranging) and Depth cameras (e.g. RGB-D cameras). With increased numbers of 3D sensors, collecting data for training and capturing…

The post Guide To labelCloud: A Python Tool for Annotating 3D Point Clouds appeared first on Analytics India Magazine.

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