Image Classification with AI: Unterschied zwischen den Versionen

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[[Datei:Endbild.jpg|thumb|rigth|500px|Abb. 1: Detect an classify the road signs]]
[[Datei:Endbild.jpg|thumb|rigth|500px|Abb. 1: Detect an classify the road signs]]
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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 Classification: AI models are trained to recognize and classify images into predefined categories. For example, distinguishing between images of dogs and cats. Convolutional Neural Networks (CNNs) are widely used for image classification tasks.
Image Classification: AI models are trained to recognize and classify images into predefined categories. For example, distinguishing between images of dogs and cats. Convolutional Neural Networks (CNNs) are widely used for image classification tasks.

Aktuelle Version vom 4. März 2025, 08:53 Uhr

Abb. 1: Detect an classify the road signs

Introduction

Image Classification: AI models are trained to recognize and classify images into predefined categories. For example, distinguishing between images of dogs and cats. Convolutional Neural Networks (CNNs) are widely used for image classification tasks.

Task

  1. Create a database of road signs.
  2. Train AI models with road signs or use a pretrained network.
  3. Use AI to classify the road signs.

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