Work

Ashwin: Plug-and-Play System for Machine-Human Image Annotation

Year: 2016

Type: preprint

Abstract: We present an end-to-end machine-human image annotation system where each component can be attached in a plug-and-play fashion. These components include Feature Extraction, Machine Classifier, Task Sampling and Crowd Consensus.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1609.02271

Authors: Sriraman, Anand, Kulkarni, Mandar, Kumar, Rahul, Kalra, Kanika, Radadia, Purushotam, Karande, Shirish

Institution: Tata Consultancy Services (India)

Language: English

Topic: Mobile Crowdsensing and Crowdsourcing

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2518934285

Cites: 4

Cited by:

Related to: 20