DistributeEyes
Mission:
To find objects of interest in images using
MTurk's
distributed workforce. The objects found
may be used in
GemIdent as training for classification.
Demo Videos |
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Introductory Demo - Oranges
We walk through the concept of distribute eyes. We create a basic project: authenticate,
initialize, and distribute an image. We then pretend to be a worker and train the image.
We then check the worker's training.
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Application #2 - Ants
We create a project in distribute eyes that distributes multiple images. We
demonstrate multiple HIT training. Then, we walk through the scenario of
accepting a worker's HIT vs rejecting a HIT.
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Application #3 - Cells
We create a project in distribute eyes that contains multiple phenotypes.
We demonstrate how a prospective worker would train this complicated image, and
what an acceptance and error correction could look like.
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What are we looking for?
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