One such significant application of AI’s deep learning for image recognition is making remarkable strides with dynamic use cases. We at Oodles, as an AI Development Company, present a comprehensive guide to deploying enterprise-grade image recognition applications using deep learning techniques. As a thriving Computer Vision Development Company, we at Oodles, elaborate on the application of deep learning for image recognition using industry-best tools and techniques.
Learn more: Deep Learning for Image Recognition Applications
Market Research Future published a Cooked research report on “Global Image Recognition Market Research Report - Forecast to 2023” – Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2023Qualcomm Inc. (U.S.), NEC Corporation (Japan), Google Inc. (U.S.), LTU Technologies (France), Catchoom Technologies S.L.
(Spain), Honeywell International Inc. (U.S.), Hitachi, Ltd. (Japan), Slyce Inc. (U.S.), Wikitude GmbH (Germany), and Attrasoft, Inc. (U.S.) are some of the prominent players profiled in MRFR Analysis and are at the forefront of competition in the Global Image Recognition Market.Image Recognition Global Market - OverviewThe global image recognition market is showing immense growth; mainly due to the emergence of cloud technologies and growing demand for high bandwidth data services across different industry verticals.
Increasing use of image recognition applications and increasing use of high bandwidth data services is one major factor driving the growth of image recognition market.
The image recognition market is highly competitive due to the increase in acceptance of technology across various industry verticals and by different companies.
The market is projected to demonstrate a spectacular growth by 2023 with a striking CAGR during the anticipated period (2017 – 2023).
Whereas, the based on component, the hardware sub segment is expected to hold the largest market share of the image recognition market owing to increasing adoption of devices enabled with image recognition software and solutions.On the other hand, lack of awareness and lack of technical expertise are major factors responsible for hindering the growth of image recognition market.
The market is anticipated to witness a healthy growth rate in the years to come.
Image recognition implies technique for processing, sympathizing, acquiring, and scrutinizing images.
It uses disentangling of representational data from image data using replica formed with the help of statistics, physics, learning theory, and geometry.On the other hand, the high price of raw material as well as maintenance will be restraining factors for global image recognition market.
It is anticipated to grow at a significant CAGR of 19.2% in the upcoming period as the scope, product types, and its applications are increasing across the globe.Download Sample Report @ https://www.millioninsights.com/industry-reports/image-recognition-market/request-sampleThe market may be explored by techniques, applications, components, deployment mode, verticals, and geography.
Image Recognition Market may be explored by techniques as Facial Recognition, QR/Barcode Recognition, Object Recognition, Optical Character Recognition, and Pattern Recognition.The “object recognition” segment dominated the market in 2016 and it is anticipated to lead the market during the forthcoming period due to high acceptance of image recognition devices in the retail segment as it supports detection of an item without using barcodes.
It also permits marketers to increase insights to help them and connect with their customers by tracing objects from photos shared by customers on social media.Image Recognition Market may be explored by application as Augmented Reality, Scanning & Imaging, Image Search, Marketing & Advertising Security, and Surveillance.
