Overview

Image Recognition Technologies

Image recognition technologies are a group of technologies that enable computers to analyze image and video data, automatically recognizing and judging people, objects, text, and situations depicted within them. With the advancement of deep learning, accuracy and application scope have dramatically expanded, and various technologies such as image classification, object detection, face recognition, image segmentation, and OCR are being utilized in industry. These technologies have become essential across a wide range of fields including security surveillance, autonomous driving, medical diagnosis, and quality control in manufacturing.

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code	slug	name	description
01	image-classification	Image Classification	The most basic technology to determine what an entire image represents.
02	object-detection	Object Detection	Technology that detects multiple objects in an image and identifies their positions.
03	face-recognition	Face Recognition	Technology that identifies and verifies individuals from facial features.
04	image-segmentation	Image Segmentation	Technology that finely divides images at the pixel level and labels each region.
05	ocr	Optical Character Recognition (OCR)	Technology that converts text in images into digital data.
06	anomaly-detection	Anomaly Detection	Technology that detects features or movements different from normal.
07	action-recognition	Action Recognition	Technology that analyzes human movement patterns.
08	code-recognition	Code Recognition	Technology that reads barcodes and QR codes.

Classification of technologies for AI to extract and analyze information from images and videos.