Chapter

The Limitations of Standard Data Augmentation in Computer Vision
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58:25 - 1:03:18 (04:53)

The type of data augmentation needed for computer vision tasks should depend on the specific tasks and goals of the system. Currently, standard data augmentation techniques are only appropriate for object recognition or image classification, and cannot be used for tasks like object detection and localization.

Clips
This podcast episode examines the limitations of using standard data augmentation for image recognition tasks, explaining how these techniques may not be suitable for tasks such as object detection and localization.
58:25 - 1:03:18 (04:53)
listen on SpotifyListen on Youtube
AI Image Recognition
Summary

This podcast episode examines the limitations of using standard data augmentation for image recognition tasks, explaining how these techniques may not be suitable for tasks such as object detection and localization.

Chapter
The Limitations of Standard Data Augmentation in Computer Vision
Episode
#258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning
Podcast
Lex Fridman Podcast