Annotation Services

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Annotation Services Anolytics Aug.20.2021

Importance of Bounding Box Annotation in Object Detection

Object detection is making inroads into a variety of industries, with applications ranging from personal security to office productivity. Many applications of computer vision use object detection and recognition, including image retrieval, security, surveillance, autonomous vehicle systems, and machine inspection. Object Detection Object detection refers to a group of computer […]

Annotation Services Anolytics Jul.28.2021

Video Annotation in Machine Learning and AI

Video annotation, like image annotation, aids in the recognition of objects by modern machines using computer vision. Detecting moving things or objects in videos and making them identifiable using frame-to-frame. For example, a 60-second video clip with a 30 fps (frames per second) frame rate, has 1800 video frames, which […]

Annotation Services Anolytics Apr.15.2021

How AI in Security Cameras Provide One-stop Security Surveillance Solutions?

Public security and surveillance is becoming more important with the increase of crime and threats from illegal activities globally. But thanks to Artificial Intelligence (AI) the public safety is becoming more expedient with security cameras that keep an eye on various activities and providing effective security and surveillance solutions. AI […]

Annotation Services Anolytics Feb.25.2021

What is AI Image Recognition & How Does it Work for Object Detection?

Artificial Intelligence (AI) is becoming intellectual as it is exposed to machines for recognition. The massive number of databases stored for Machine Learning models, the more comprehensive and agile is your AI to identify, understand and predict in varied situations. To perceive the world of surroundings image recognition helps the […]

Annotation Services Anolytics Nov.12.2020

Role of Image Annotation in Applying Machine Learning for Precision Agriculture

Artificial Intelligence (AI) is getting integrated into vital fields making human life more efficient and productive. Similarly, AI in agriculture is making agriculture and farming easier with computer vision-based crop monitoring and production system. AI Robots, drones and automated machines are playing a big role in harvesting, ripping, health monitoring […]

Annotation Services Anolytics Oct.13.2020

Top Data Labeling Challenges Faced by the Data Annotation Companies

Data labeling is not a task, it requires lots of skills, knowledge and lots of effort to label the data for machine learning training. And for visual perception model needs annotated images to train the computer vision algorithm helping the model to recognize the various objects recognizable. However, while labeling […]

Annotation Services Anolytics Jan.30.2020

How to Improve Computer Vision in Autonomous Vehicles using Image Annotation Services?

Self-driving cars need more precise visual training to detect or recognize the objects on the street and ride in the right lane to avoid collisions. Actually, autonomous vehicles can visualize the entire scenario of the natural environment to take action while running on the road. And to perceive the different […]

Annotation Services Anolytics Sep.21.2019

How Semantic Segmentation & Landmark Annotation Improves Facial Recognition?

Facial recognition is becoming important for many companies to improve the security surveillance or detect the faces of people for various purposes like identifying the person for unlocking the smartphones or detect the facial expressions of drivers for alerting them through ADAS for safe driving. Facial recognition for computer vision […]

Annotation Services Anolytics Aug.02.2019

Five Reasons Why You Need To Outsource Your Data Annotation Project

Artificial Intelligence (AI) and Machine Learning (ML) development is mainly rely on training data sets, that helps the AI or ML algorithms to detect the objects and learn certain patterns for future predictions. And acquiring the labeled or annotated data is the real challenge for the companies they many times […]

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