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Create functions to generate & evaluate triplets
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Ground truth triplets (as if somebody has access to the ground truth labels)
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Random triplets
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Any others ...?
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Function to evaluate a set of collected triplets (outputs a number that indicates the quality)
Preparing for Crowdsource and ML
- Decide on unlabeled data
- Decide on labeled data
- Understand and setup environment in turk
- How to generate triplets
--- (Generate similar triplets?)
--- (Using a threshold or not?)
Evaluating our findings
- Did we improve precision?
- Can we improve our Crowdsourcing methods
- Can we improve the way we use similarity ratings
- Is CS a good way to generate new data (especially within medical imaging)?
(CS = Crowdsourcing)
Running the ML-model
- Create the baseline model
- Create the crowdsim model
- How does it perform?
- Create a "multi-task" model
First take on output on the project
- Compress images to smaller size
- Upload image_resized to GitHub
- Create the Big triplet list
- Create "Oracle" simulated answers to triplets
- Label the unlabeled pictures with the simulated answers
- Feed it into the model
- Proxy comparasion with Ralf's baseline on ISIC 2017
Running the survey
- Getting data from the survey
- Calculate users' precision score
- Calculating average?
- Applying treshold/loss-function
Designing of the survey
- Training/Gold standard
- Create image survey
- Get initial feedback?
Create project agreement for ITU-project base
Reproduce results from Ralf's research
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