Visual Recognition and Object Detection in AI Systems
Visual Recognition and Object Detection in AI Systems Visual recognition means teaching machines to identify what is in an image. Object detection adds the ability to locate each item and outline it with a bounding box. Together, these tasks power many AI systems, from photo search to industrial inspection. The work blends data, math, and practical limits of hardware. How it works in brief: a labeled image dataset trains a model to map pixels to labels. A detector then looks for multiple instances, returning a list of boxes, class labels, and confidence scores. Modern systems often combine convolutional neural networks with ideas from transformers, running on GPUs or even on edge devices with careful optimization. ...