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.

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.

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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