An interesting machine learning problem that's quite common π:
Let's say you need to identify the model of a phone based on a set of pictures of the device. That is, for every request, you'll get one or more images of a device, and you need to answer with each model.
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Let's say you need to identify the model of a phone based on a set of pictures of the device. That is, for every request, you'll get one or more images of a device, and you need to answer with each model.
π§΅
[2] A plausible solution is to implement a deep learning model that, given an image, determines the correct model of the device (a regular classification model.)
You can run each image through that deep learning model, and this will give you a set of possible answers.
π
You can run each image through that deep learning model, and this will give you a set of possible answers.
π
[3] Now, looking at the set of possible answers, you need to determine how to select the correct answer.
Imagine you get the following 5 possible answers:
- Nokia 95
- iPhone 12
- iPhone X
- iPhone 12
- Samsung Galaxy 5
Which one is correct?
π
Imagine you get the following 5 possible answers:
- Nokia 95
- iPhone 12
- iPhone X
- iPhone 12
- Samsung Galaxy 5
Which one is correct?
π
[4] There are multiple ways to approach this problem.
Common sense indicates that the score returned by the softmax layer of the model will play a big role in selecting the correct answer.
Simple heuristic: return the answer with the highest score.
π
Common sense indicates that the score returned by the softmax layer of the model will play a big role in selecting the correct answer.
Simple heuristic: return the answer with the highest score.
π
[5] Another possible solution is to take into account whether there are multiple matching answers.
For example: "iPhone 12" appears twice.
Combining this with the scores in some creative way gives a better path to successfully select the correct answer.
π
For example: "iPhone 12" appears twice.
Combining this with the scores in some creative way gives a better path to successfully select the correct answer.
π
[6] Problems with different characteristics will offer different options to come up with an answer.
Have you worked on a similar problem? How have you approached it?
Have you worked on a similar problem? How have you approached it?
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