Computer vision is a field of artificial intelligence that enables machines to interpret and understand visual information from the world. It powers technologies like facial recognition, object detection, and autonomous vehicles. Here's a quick breakdown:

Core Applications 🌍

  • Image Classification
    Identifying objects within images (e.g., recognizing a cat in a photo).

    Image_Classification
  • Object Detection
    Locating and identifying multiple objects in a single image.

    Object_Detection
  • Scene Understanding
    Analyzing environments to detect depth, motion, and spatial relationships.

    Scene_Understanding

Key Technologies 🔍

  • Convolutional Neural Networks (CNNs)

    Convolutional_Neural_Networks
  • Deep Learning Frameworks
    Tools like TensorFlow and PyTorch are essential for building vision models.

    Deep_Learning_Frameworks
  • Image Processing
    Techniques for enhancing, analyzing, and manipulating visual data.

    Image_Processing

Learning Resources 📘

For hands-on practice, try this interactive demo to visualize how algorithms process images. 🚀