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Polyline Annotation Services
//Image annotation
Polyline Annotation
Polyline annotation is a technique used in computer vision, image processing, and machine learning to label and annotate objects or features within images using connected sequences of line segments. Unlike polygon annotation, which encloses regions of interest with closed shapes, polyline annotation delineates objects or structures with open-ended lines defined by a series of vertices. Polyline annotation is particularly useful for annotating linear features, boundaries, and contours within images.
//POLYLINE ANNOTATION SERVICES
APPLICATIONS OF POLYLINE ANNOTATION
Annotation Process
In polyline annotation, annotators manually or semi-automatically draw lines or polylines on the image to outline and annotate objects or features of interest. These polylines consist of a series of connected line segments defined by endpoints or vertices, allowing for the precise delineation of linear structures and contours within the image.
Boundary and Contour Labeling
Polyline annotation is commonly used to label boundaries, contours, and outlines of objects within images. This includes annotating the outlines of objects such as buildings, roads, rivers, boundaries, and regions of interest in aerial or satellite imagery, geological surveys, and cartography.
Object Localization and Segmentation
Polyline annotation enables precise object localization and segmentation by delineating the boundaries of objects or regions of interest within images. By tracing the contours of objects with polylines, annotators can accurately define the spatial extent and shape of objects for tasks such as object detection, recognition, and segmentation.
Road and Lane Annotation
In applications such as autonomous driving, transportation planning, and navigation systems, polyline annotation is used to annotate roads, lanes, and traffic markings within images. By tracing the centerlines, lane markings, and road edges with polylines, annotators can provide detailed information about road geometry and infrastructure for autonomous vehicle navigation and traffic analysis.
//Industries
USE CASES FOR POLYLINE ANNOTATION
RETAIL
Assisting the retail and e-commerce sectors by providing training data to optimize their in-store operations through the implementation of artificial intelligence (AI).ROBOTICS
3D object detection finds extensive application in robotics, particularly to prevent collisions with dynamic entities such as humans, animals, and other objects.AGRICULTURE
Supporting agriculture through computer vision training data involves facilitating the identification of product defects, sorting produce, managing livestock, assessing soil quality, implementing fertilizer applications, and fine-tuning genetic conditions.INSURANCE
Preparing training data to integrate AI into insurance procedures for tasks such as risk assessment, fraud detection, underwriting and minimizing human error.HEALTHCARE
Incorporating annotations and accurate labeling within AI systems is crucial for uncovering connections within genetic codesand enhancing efficiency in healthcare processes.SECURITY & SURVEILLANCE
Facilitating the integration of AI into cameras and sensors enables the detection of potential risks at workplaces, airports, and industrial sites. This involves incorporating computer vision technology into security and surveillance systems.SELF-DRIVING
Bounding boxes serve to annotate the surroundings of a vehicle, aiding in the detection of various objects including pedestrians, vehicles, traffic signs, and barriers.LOGISTICS
Logistics represents one of the growing areas of artificial intelligence application. We specialize in annotating images of goods to generate high-quality training data utilized in logistics.AUTONOMOUS FLYING
Simplifying and broadening access to AI implementations for automated or assisted flight can be achieved by leveraging image annotation conducted at the backend using training data specifically tailored for autonomous flying.// Drop us a line! We are here to answer your queries