Image Data Augmentation

Random Gaussian Blur

Random Gaussian Blur is an image data augmentation technique where we randomly blur the image using a Gaussian distribution.

Image Source: Wikipedia

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Self-Supervised Learning 98 27.37%
Image Classification 21 5.87%
Semantic Segmentation 15 4.19%
Object Detection 12 3.35%
Retrieval 8 2.23%
Clustering 8 2.23%
Classification 8 2.23%
General Classification 7 1.96%
Activity Recognition 6 1.68%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories