Data Augmentation for Object Detection

Augmentation is very useful and widely adopted in many computer vision tasks solved with deep learning. But, what are the best augmentation policies for object detection? In this video, we take a look at augmentation in object detection and how you can design the best augmentation policy for your own custom dataset. Enjoy the video! Papers cited in the video: - Learning Data Augmentation Strategies for Object Detection https://arxiv.org/abs/1906.11172 - Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules https://arxiv.org/abs/1905.05393 - RandAugment: Practical automated data augmentation with a reduced search space https://arxiv.org/abs/1909.13719 0:00 Introduction 1:30 Augmentation: Object Detection vs Image Classification 2:51 Transformations for Object Detection 4:30 How to find the optimal augmentation 5:10 Automatic Augmentation Algorithms 5:30 How Automatic Augmentation Algorithms work 8:00 Actionable takeaways from AAA 8:40 Paper: Learning Data Augmentation Strategies for Object Detection 10:30 Paper: Population Based Augmentation 11:55 Paper: RandAugment 13:20 Main Takeaway #dataaugmentation #objectdetection #computervision #deeplearning #randaugment