Bounding Box Annotation
Ksenia discusses the challenges of bounding box annotation, highlighting the trade-off between the time-consuming process of manual drawing and the quicker verification of predicted locations. She emphasizes the importance of balancing these methods to reduce human effort while ensuring accurate labeling. By exploring both how and what to annotate, Ksenia believes a more efficient approach can be achieved in object detection tasks.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Learning Active Learning from Data with Ksenia Konyushkova - #116
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