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AI10 سبتمبر 20246 min read

اكتشاف الكائنات: كيف يتعرف رؤية الكمبيوتر على الأشياء في الصور

هذه المقالة متاحة باللغة الإنجليزية. الواجهة مترجمة إلى العربية.

Object detection is one of the most important tasks in computer vision, enabling everything from self-driving cars to image search.

How Object Detection Works

Object detection combines two tasks:

1. Localization: Finding where objects are (bounding boxes)

2. Classification: Identifying what each object is (labels)

Key Architectures

  • YOLO (You Only Look Once): Real-time detection, single pass
  • SSD (Single Shot Detector): Fast, good accuracy
  • Faster R-CNN: Two-stage, higher accuracy
  • DETR: Transformer-based, state-of-the-art
  • Common Object Categories

    Models like COCO are trained on 80 categories including:

    people, vehicles, animals, furniture, electronics, food, and more.

    Applications

  • Security: Surveillance and monitoring
  • Retail: Inventory management, self-checkout
  • Healthcare: Medical image analysis
  • Accessibility: Describing images for visually impaired users
  • Try our Object Detection tool to identify objects in your images.

    For a broader picture of what is in an image, pair object detection with our Image Classifier to get top-level scene labels.

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