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Custom Vision Service

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Release Notes – Recently updated December 19.

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  1. Ability to import iterations into the workspace to allow models to be generated on subsets of data

    I'd like to be able to Import the training data from an iteration into the workspace, modify that data and train a new iteration.

    This would allow multiple iterations to be trained with subsets of the same data. ie, you could have iterations containing data for Asia-Pacific, The Americas, and Global, all using a subset of the same training data. You can then import one of these iterations into your workspace to update the training images and create a new iteration for that locale, or import the global iteration to have access to the full set of training images.

    It…

    4 votes
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    Under Review  ·  0 comments  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  2. Provide feature to download existing training images

    Provide feature to download existing training images

    4 votes
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    Under Review  ·  1 comment  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  3. Train with Random cropping - Predict with multiple cropping and majority voting

    Have a feature to switch on cropping (data augmentation) for training and for inference.

    1) It is a well known technique to use random cropping to help to train a classifier. (Alex Krizhevsky did that too)

    2) In this paper https://arxiv.org/pdf/1803.00949v1.pdf about Tree Species Identification from Bark Images Using Convolutional
    Neural Networks researchers used cropping for training and for interference too. " For
    the latter, we split the test image into multiple non-overlapping
    224x224 crops and classified each one individually. Then, we
    performed majority voting to determine the final outcome.
    As can be seen from Table III, progressing from single …

    5 votes
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    Under Review  ·  0 comments  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  4. 3 votes
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    Under Review  ·  2 comments  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  5. Training data analysis for improvement

    After training, it would be nice if we could see analysis on biases of train data set (e.g. a set of data tagged to "A" seems similar than other tags, or seem to have enough deviation in dataset, etc), so tthat we could add new data to correct those.

    7 votes
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    Under Review  ·  1 comment  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  6. Training - Allow us to crop or set bounds box for each tag

    I'd like the option to upload a single picture and tag it into multiple tags but tell the computer where in the picture to focus on what tag. This could help us get object level tagging if we wanted to take the time to train it.

    10 votes
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    Under Review  ·  4 comments  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  7. Orientation of images

    The orientation of the image matter when using, I think it is better if there is an option to let the system know to change the orientation and train

    4 votes
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    Under Review  ·  0 comments  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  8. Statistical tools

    It would be great to have access to more some more basic stats on the training process - learning curves, errors, ROCs, AUC values - the more the better.

    4 votes
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    Under Review  ·  1 comment  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  9. Eliminate false positives

    I have trained my model with 500 images of different BMW motor vehicles however if i give it an image of a stretch Hummer it categorizes that as a BMW.

    It is able to correctly return low probability (or zero) for clearly non car related imagery but i would have thought it should also return a low probability of a stretch Hummer being a BMW too, not 99%

    Put another way, if an image is of the same type as that which the model is trained for then unless you have sufficient tags (e.g, lots of different vehicle makes) then…

    8 votes
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    Under Review  ·  3 comments  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
  10. Ignore tags with less than 5 images when training

    Currently, if you want to train your project, all tags need to have at least 5 images otherwise an error will be thrown and your entire project will not get trained.

    Please allow an option to ignore tags with less that 5 images when training

    12 votes
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    Under Review  ·  5 comments  ·  Training  ·  Flag idea as inappropriate…  ·  Admin →
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