litcoderr / picocv

PICO label correction algorithm for Computer Vision (pre-alpha-alpha version)

PICOCV

PICO label correction algorithm implemented for Computer Vision

Why Use PICOCV?

1. Correct labeling is essential for image classification algorithms based on supervised machine learning.
2. Nonetheless, labeling being a task that can only be done by people, human error is inevitable.
3. PICOCV performs semi-automatic label correction for better performance.

Quick Setup

1. Install picocv via pip

pip install picocv

Usage

Example use case is demonstrated in "example" folder.

Reference

• DEVIEW 2019 발표자료 : 레이블링 조금 잘못돼도 괜찮아요: Clova가 레이블 노이즈 잡는 법