# Can Masses of Non-Experts Train Highly Accurate Image Classifiers?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/can-masses-of-non-experts-train-highly-accurate-image-classifiers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lena Maier‐Hein,Sven Mersmann,Daniel Kondermann,Sebastian Bodenstedt,A. Sánchez,Christian Stock,Hannes Götz Kenngott,Mathias Eisenmann,Stefanie Speidel |
| Citations | 92 |
| DOI | 10.1007/978-3-319-10470-6_55 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2168571645 |
| PMID | 25485409 |
| Type | conference-paper |
| Year | 2014 |

## Paper authors

- [Sebastian Bodenstedt](https://scholariq.org/researchers/sebastian-bodenstedt/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Mobile Crowdsensing and Crowdsourcing](https://scholariq.org/topics/mobile-crowdsensing-and-crowdsourcing/)

## Paper topics

- [Mobile Crowdsensing and Crowdsourcing](https://scholariq.org/topics/mobile-crowdsensing-and-crowdsourcing/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.