3@DCA'2019 Crowdsourcing application for machine learning
project type: classic
edition: 2019
number of students in project 3 - 5
manager: Agata Krauzewicz
The aim of the project is to develop and implement mechanisms allowing deep machine learning based on the crowdsourcing-gathered learning data. The network should detect bees on a video stream. The bees on a learning set should be tagged by the users of a game (or other application). The users should also verify correctness of detection made on a validation set. Task distribution to the users should be done using CenHive system.
Tasks for students:
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Getting familiar with CenHive system
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Development of neural network
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Project and implementation of crowdsourcing-based system for data preparation
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Tests and validation of the proposed solution
Members
| Agata Krauzewicz |
|
| Łukasz Łepek |
|
| Mateusz Kujawski |
|
| Paweł Andrzejewski |
|
| Paweł Kowalewski |
|
Poster
| Semester 1 |
| Semester 2 |
Presentation / Documentation
| Semester 1 : No presentation |
| Semester 2 : No presentation |