Polyline Annotation & Keypoint Data Labeling Service
What is polyline annotation and keypoint labeling?
Polyline annotation and spline annotation marks limits such as lane detection and road markings on image video which trains the AI model & ML algorithms to operate within the boundaries.
Keypoint labeling is also known as movement tracking annotation. This technique marks critical points on the objects to track movements and directions of objects, such as facial expression labeling.
Keypoint Annotation data labeling service
Polyline Annotation for lanes on road
Uses of polyline & keypoint annotation
Keypoint Annotations techniques is widely used for motion tracking, facial recognition, hand gesture recognition in phones, Sports and fitness training and analytics.
Polyline Labeling, also known as line annotations, defines boundaries for automated machines such as robots and vehicles to operate within.
Image annotation applications across industries
Look no further! Let our subject matter experts take care of your data annotation and labelling needs.
Our beliefs behind each annotations
Data Security & Privacy
Fast Delivery with High Accuracy
Cost Effective Pricing
Scalable Solution by Experts
- We are EU-GDPR compliant and SOC 2 Type 1 organization. Data security & privacy is non-negotiable for us
- Our scalable annotation solutions are driven by specialists with years of experience in AI & ML
- We deliver fast and achieve 95%+ accuracy in our annotations
- We aim to achieve highest client satisfaction while providing low cost annotation and fostering longterm relations
Facial recognition technology in recent years has been in the middle of an ethical debate. Its fielding has increased in ethical challenges, including the hacking risks, violation of personal privacy and personal data, lack of consent for the individual to be monitored, and problems with how data collected is used or stored.
An image annotator is an individual who labels digital images adding labels accurately to help the models easily identify objects of interest. Image annotators play an important in machine learning and computer vision by ensuring that the training data is appropriately and accurately annotated. A good image annotator is part of the factors that will influence the accuracy of the resulting model.
The process by which digital images are labeled or classified using the different annotation techniques and tools is called image annotation. Image annotation prepares the training dataset by labeling features that the machine learning model recognises. It is, therefore, an essential element in machine learning.
