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[[Datei:Endbild.jpg|thumb|rigth|500px|Abb. 1: Detect an classify the road signs]] | |||
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| '''Autor:''' || [mailto:moye-nyuysoni.glein-perry@stud.hshl.de Moye Nyuysoni Glein Perry] | |||
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| '''Art:''' || Project Work | |||
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| '''Starttermin''': || 14.11.2024 | |||
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| '''Abgabetermin''': || 31.03.2025 | |||
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| '''Betreuer''': || [[Benutzer:Ulrich_Schneider| Prof. Dr.-Ing. Schneider]] | |||
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= 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. | ||
= Task = | |||
# Create a database of road signs. | |||
# Train AI models with road signs or use a pretrained network. | |||
# Use AI to classify the road signs. | |||
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→ zurück zum Hauptartikel: [[Signalverarbeitung_mit_MATLAB_und_Künstlicher_Intelligenz| Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz]] | |||
Aktuelle Version vom 4. März 2025, 08:53 Uhr
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
- Create a database of road signs.
- Train AI models with road signs or use a pretrained network.
- Use AI to classify the road signs.
→ zurück zum Hauptartikel: Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz