Animals in the Wild: Using Crowdsourcing to Enhance the Labelling of Camera Trap Images
Author:
Affiliation:
1. University of Bremen,Sustainable Communication Networks,Bremen,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256660/10257181/10257277.pdf?arnumber=10257277
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3. Revolt: Collaborative crowd-sourcing for labeling machine learning datasets;chang;Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems,0
4. OneLabeler: A Flexible System for Building Data Labeling Tools
5. Automatic bounding box annotation with small training datasets for industrial manufacturing;geiß;Micromachines,2023
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