Image Segmentation with AI: Unterschied zwischen den Versionen
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(Die Seite wurde neu angelegt: „{| class="wikitable" |- | '''Autor:''' || [mailto:moye-nyuysoni.glein-perry@stud.hshl.de Moye Nyuysoni Glein Perry] |- | '''Art:''' || Project Work |- | '''Starttermin''': || 14.11.2024 |- | '''Abgabetermin''': || 31.03.2025 |- | '''Betreuer''': || Prof. Dr.-Ing. Schneider |} = Introduction = Image Segmentation: Segmentation divides an image into segments or pixels that belong to the same object class. It’s more granul…“) |
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[[Datei:MundM.png|thumb|rigth|500px|Abb. 1: M & M on a table]] | |||
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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). | ||
=Task= | =Task= | ||
How many M & Ms are on the table in which color? | |||
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→ zurück zum Hauptartikel: [[Signalverarbeitung_mit_MATLAB_und_Künstlicher_Intelligenz| Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz]] | → zurück zum Hauptartikel: [[Signalverarbeitung_mit_MATLAB_und_Künstlicher_Intelligenz| Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz]] |
Aktuelle Version vom 17. Dezember 2024, 10:57 Uhr
Autor: | Moye Nyuysoni Glein Perry |
Art: | Project Work |
Starttermin: | 14.11.2024 |
Abgabetermin: | 31.03.2025 |
Betreuer: | Prof. Dr.-Ing. Schneider |
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?
→ zurück zum Hauptartikel: Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz