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Related articles

pixel correctness

a metric that gives you information about the correctness of the prediction of the algorithm on a pixel level. For each pixel it shows if the predicted pixel label is correct.

Instance segmentation - qualitative results

predicted areas

areas within an image assigned to a particular label

How-to understand quantitative results?

predicted instance

an individual object that has been detected, segmented and classified by the instance segmentation algorithm

Instance segmentation - qualitative results

predicted pixel label

the label the AI-algorithm assigns a pixel to. This means each pixel in an image is assigned a class label from a predefined set. In other words, the “predicted pixel label“ is the label the AI-algorithm assigned to a specific pixel.

How-to understand quantitative results?

random split

the process of letting the platform decide which images are used for training and which ones for validation.

Introduction into IKOSA AI

RGB images

images that consist of 3 channels: red, green and blue.

How to manage multichannel images?

semantic segmentation

a computer vision task for segmenting an image through assigning a label to each pixel within.

Algorithm Training Types

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