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The formula from the Toby is right, I just add some kinds of stuff that can be used to detect the pixel belongs to an object or not. I found the below formula from this link. We can ideally take $alpha=1$ and $beta=0$ but practically it lies between [0,1] interval Abstract view of the object detection process The first step we need to do is identifying ...

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This is just an idea Given a set of pixels, the task is to decide: Which pixel is the center of an object? What is the size of the bounding boxes with the center is the pixel in part 1? Formula, consider this is a 2D image, call $(x,y)$ is the horizontal and vertical coordinate and $(w_i,h_i)$ is the size of bouding box of object $i$: \$\text{For }m \in[x,x+...

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AI in healthcare is already playing a big role in diagnosing the diseases, assisting patients or helping the medical staff in supplying various things or performing actions. The medical imaging helps AI to diagnosis the diseases without help radiologist. And to develop the AI model using medical images to diagnosis various disease need training datasets for ...

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There are measuring machines which, based on sensors, are able to determine specific parameters of the body shape or state. (proteins, muscle mass, adipose tissue mass, body-weight, height) and separate into segments. (right hand, left hand etc.) Hovewer the same issue seems relatively difficult. With my humble opinion, I can recommend the process to you: ...

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Auto-encoders are widely used and maybe even more used than GANs (in fact, auto-encoders are older than GANs, although the main general idea behind GANs is quite old). For example, auto-encoders are used in World Models, for drug design (e.g. see this paper) and many other tasks that involve data compression or generation. So, if we train autoencoders, for ...

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I have not come across music labeling algorithms but upon a google scholar search, I found a couple of papers that aim to do quite the same task. In general, if you have a labeled dataset then you can take an approach of a general speech recognition model. It should work fine for music labeling too, but you might need to tweak certain parameters.

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