machine learning
(216)
Intelligent Document Processing Workflow and Use cases
Artificial Intelligence has stepped up to the front line of real-world problem solving and business transformation with Intelligent Document Processing (IDP) becoming a vital component in the global effort to drive intelligent automation into cor...
tagx · 22 February · 1
How Data Annotation is used for Speech Recognition
Speech recognition refers to a computer interpreting the words spoken by a person and converting them to a format that is understandable by a machine. Depending on the end goal, it is then converted to text or voice, or another required format. For i...
tagx · 20 February · 1
AI and Data Annotation for Manufacturing and Industrial Automation
Industrial automation refers to the use of technology to control and optimize industrial processes, such as manufacturing, transportation, and logistics. This can involve the use of automation equipment, such as robots and conveyor belts, as well...
tagx · 19 February · 1
How Data Annotation is used for AI-based Recruitment
The ability of AI to assess huge data and swiftly estimate available possibilities makes process automation possible. AI technologies are increasingly being employed in marketing and development in addition to IT. It’s not surprising that...
tagx · 17 February · 1
The Ultimate Guide to Data Ops for AI
Data is the fuel that powers AI and ML models. Without enough high-quality, relevant data, it is impossible to train and develop accurate and effective models. DataOps (Data Operations) in Artificial Intelligence (AI) is a set of practices and proce...
tagx · 16 February · 1
What is difference between monoblock and self priming pump?
Monoblock and Pump that self-Priming's the Difference? Pumps are a component this is certainly a companies that are must many assisting to go liquids from a destination for a another. Two types of pumps commonly used are self-priming and monoblock....
Bud hombre · 15 February · 5
Data Annotation for Smart Security and Surveillance
Computer vision is a rapidly growing field of artificial intelligence that is revolutionizing the way we interact with technology. It involves the development of algorithms, models, and systems that enable computers to understand and interpret vi...
tagx · 15 February · 1
Data Annotation: How it Can Boost Your AI Models?
As artificial intelligence (AI) continues to revolutionize various industries, data annotation has become an essential part of the process. Essentially, data annotation involves labeling data to make it usable for machine learning algorithms. By prov...
tagx · 14 February · 2
Unveiling the Origins: Where Are Shimano Reels Made?
Introduction: Shimano reels stand as a pinnacle of precision and performance in the realm of fishing equipment. As anglers seek the best tools for their craft, a common question arises: Where are Shimano reels made? Delving into the manufacturing or...
akbarali seo · 13 February · 2
Data Annotation Outsourcing: How to choose a reliable vendor
Artificial Intelligence (AI) has rapidly grown and transformed the way businesses operate and interact with their customers. The success of an AI model is heavily dependent on the quality of the data it is trained on. This is why AI companies re...
tagx · 13 February · 1
Unlocking Insights: Exploring the Power of Data Scraping in the Digital Age
In today's digital age, data is being generated at an unprecedented rate. From online platforms and social media to e-commerce websites and research databases, a vast amount of information is readily available for those who know how to harness it...
tagx · 12 February · 1
How Data Annotation drives precise AI Video Analytics
In the era of data-driven insights and intelligent automation, video analytics has emerged as a transformative technology, revolutionizing the way we extract valuable information from video data. At the heart of this innovation lies the power of artificial intelligence (AI) and its ability to analyze and interpret video content with remarkabl...
tagx · 10 February · 1Synthetic Data: Description, Benefits and Implementation
The quality and volume of data are critical to the success of AI algorithms. Real-world data collection is expensive and time-consuming. Furthermore, due to privacy regulations, real-world data cannot be used for research or training in most situ...
tagx · 09 February · 1
Synthetic Document Generation for NLP and Document AI
NLP (natural language processing) and document AI are technologies that are quickly developing and have a wide range of prospective applications. In recent years, the usage of NLP and document AI has significantly increased across a variety of industries, including marketing, healthcare, and finance. These solutions are being used to streamline man...
tagx · 08 February · 1A Comprehensive Overview of Object Detection Datasets in Computer Vision
Object detection datasets in computer vision refer to collections of labeled images or videos that are specifically curated and annotated for the task of object detection. These datasets are used to train and evaluate object detection models, which a...
tagx · 07 February · 1
Data preparation for AI-fueled Geospatial Analysis
Its been ages since businesses, governments, researchers, and journalists are using satellite data that helps understand the physical world and take action. As the geospatial industry evolves, so are the ways in which geospatial professionals use data to solve problems. Satellite imagery contains information that is useful for data-related projects...
tagx · 06 February · 1