Image Classification with AI: Unterschied zwischen den Versionen
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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 = | = 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]] | → zurück zum Hauptartikel: [[Signalverarbeitung_mit_MATLAB_und_Künstlicher_Intelligenz| Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz]] | ||
Aktuelle Version vom 17. Dezember 2024, 10:36 Uhr
| Autor: | Moye Nyuysoni Glein Perry |
| Art: | Project Work |
| Starttermin: | 14.11.2024 |
| Abgabetermin: | 31.03.2025 |
| Betreuer: | Prof. Dr.-Ing. Schneider |
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