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Object detection checks if a certain object is present in the image - and if so - where it is located. Although this training type may appear similar to the previous ones, there are some significant differences.
While segmentation algorithms models actually label objects and yield the exact object outline, analysis is relatively slow and the resulting data set is more complex. Segmentation may also be limited when different instances of the same object overlap.
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