Object Detection with AI: Unterschied zwischen den Versionen
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[[Datei:Ausgangsbild.png|thumb|rigth|500px|Abb. 1: Object within the lane]] | [[Datei:Ausgangsbild.png|thumb|rigth|500px|Abb. 1: Object within the lane]] | ||
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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 = | ||
Object Detection: This involves identifying and locating objects within an image. Unlike classification, which labels an entire image, object detection recognizes multiple objects in an image and provides a bounding box around each object. YOLO (You Only Look Once) and SSD (Single Shot MultiBox Detector) are popular models for these tasks. | Object Detection: This involves identifying and locating objects within an image. Unlike classification, which labels an entire image, object detection recognizes multiple objects in an image and provides a bounding box around each object. YOLO (You Only Look Once) and SSD (Single Shot MultiBox Detector) are popular models for these tasks. | ||
Aktuelle Version vom 4. März 2025, 08:53 Uhr
Introduction
Object Detection: This involves identifying and locating objects within an image. Unlike classification, which labels an entire image, object detection recognizes multiple objects in an image and provides a bounding box around each object. YOLO (You Only Look Once) and SSD (Single Shot MultiBox Detector) are popular models for these tasks.
Task
Detect Boxes in your field if view and mark them with a red rectangle in a live video while driving.
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