Image Segmentation with AI: Unterschied zwischen den Versionen
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[[Datei:MundM.png|thumb|rigth|500px|Abb. 1: M & M on a table]] | [[Datei:MundM.png|thumb|rigth|500px|Abb. 1: M & M on a table]] | ||
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| '''Betreuer''': || [[Benutzer:Ulrich_Schneider| Prof. Dr.-Ing. Schneider]] | | '''Betreuer''': || [[Benutzer:Ulrich_Schneider| Prof. Dr.-Ing. Schneider]] | ||
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= Introduction = | = Introduction = | ||
Image Segmentation: Segmentation divides an image into segments or pixels that belong to the same object class. It’s more granular than object detection. There are two main types: semantic segmentation (all pixels that belong to the same object class are labeled the same) and instance segmentation (different instances of the same class are distinguished). | Image Segmentation: Segmentation divides an image into segments or pixels that belong to the same object class. It’s more granular than object detection. There are two main types: semantic segmentation (all pixels that belong to the same object class are labeled the same) and instance segmentation (different instances of the same class are distinguished). | ||
Aktuelle Version vom 4. März 2025, 08:53 Uhr
Introduction
Image Segmentation: Segmentation divides an image into segments or pixels that belong to the same object class. It’s more granular than object detection. There are two main types: semantic segmentation (all pixels that belong to the same object class are labeled the same) and instance segmentation (different instances of the same class are distinguished).
Task
How many M & Ms are on the table in which color?
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