blue-oil/blueoil

Implement mixup data augmentation

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#430 opened on Sep 17, 2019

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accuracy_improvementgood first issue

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Description

  • For classification
  • For object detection

Mixup is an effective data augmentation, it can improve performance simply reported by many papers.

Paper: https://arxiv.org/pdf/1710.09412.pdf

References:

https://qiita.com/yu4u/items/70aa007346ec73b7ff05

https://arxiv.org/pdf/1902.04103.pdf

Contributor guide

Research direction
Study the mixup paper and understand the implementation for classification and object detection. Explore the existing data augmentation pipeline in the repository and integrate mixup accordingly.
Tech stack
python
Domain
ai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonDeep learning basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65