Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

This article summarizes a podcast episode featuring Kiran Vajapey, a human-computer interaction developer. The discussion centers on data collection and annotation techniques for AI, including data augmentation, domain adaptation, and active/transfer learning. The interview highlights the importance of enriching training datasets and mentions the use of public datasets like Imagenet. The article also promotes upcoming events where Vajapey will be speaking, indicating a focus on practical applications and real-world AI development. The content is geared towards AI practitioners and those interested in data-centric AI.