A Method for Animating Children’s Drawings of the Human Figure
Harrison Jesse Smith, Qingyuan Zheng, Yifei Li, Somya Jain, Jessica K. Hodgins
ICML Workshop in DataPerf: Benchmarking Data for Data-Centric AI
Maintainable, high quality, rapidly built, scalable ML datasets have been fundamental for multiple AI production applications that we have worked on. How have we gone about building these ML datasets in a systematic way? Our approach has included defining a set of operational metrics for ML data. Our framework for organizing those metrics focuses on goals that we have: time to launch, effect on model performance, properties of the data, data quality, and tracking dataset and historical changes. In each area, we have defined more detailed metrics and created operational processes to track them. Through disciplined tracking, we have seen the benefits of ML dataset improvements on ML performance improvements in diverse examples.
Harrison Jesse Smith, Qingyuan Zheng, Yifei Li, Somya Jain, Jessica K. Hodgins
Yunbo Zhang, Deepak Gopinath, Yuting Ye, Jessica Hodgins, Greg Turk, Jungdam Won
Simran Arora, Patrick Lewis, Angela Fan, Jacob Kahn, Christopher Ré