Labeling regularly shaped images to add features is not a complex task. But what about irregularly shaped images like cars, human bodies, animals, Etc.? Polygon Annotation provides features for odd shape images by drawing precise polygons around them. The technique is used to automate object detection for objects that are complex in shape and require high accuracy. In addition, Indika provides high-class datasets to transform raw data into carefully labeled datasets to train machine learning algorithms.
What is polygon annotation?
Polygon annotation is the process of object annotation by selecting a series of x, y coordinates along its edges to make annotation precise and accurate. It provides pixel-perfect precision, is highly flexible, and is adaptable to a variety of complex shapes.
Where can it be used?
Due to the pixel-perfect labeling capability and flexibility of Polygon annotation, it's most suitable for object detection and recognition models. Indika provides various use-cases for Polygon Annotation. Some of them include:
- Medical: on CT scans marking and outlining the anatomy of internal organs
- Geospatial: getting building footprints precisely
- Automotive: analyzes damages on cars and calculating the repair costs
- Ariel: recognizing the rooftops via drones
- Agriculture: tracking the plant's growth
- Retail: scanning and searching products in a shopper's basket
- Polygons are the best approaches to irregular label shapes.
- Due to its Pixel-perfect annotation quality, it ensures that no irrelevant pixels enter inside of the annotated area.
- Based on the object's complexity, Polygons may take longer than bounding boxes to annotate.
- In the case of truncation, not all annotation tools can make holes inside of polygons or signal that both polygons belong to the same root.
How Does Polygon Annotation Work?
In this real-world environment where everything is dynamic, expecting regular-shaped data is not possible. However, annotating regular-shaped data is relatively easy as you need to bound it with a rectangular/ square box. Polygon annotation is used for irregular-shaped or simply, with the images which you can't bound inbox. Polygon Annotation captures more lines and angles to draw a high level of accuracy. To best represent an object's actual shape, annotators click at specific points to plot vertices and have the freedom to change direction whenever necessary.
When mapping an object using a polygon annotation tool, the annotator labels it with a descriptive tag. This label is mandatory because it helps the model to understand what exists within the polygon annotation. With improper labeling, the model leads to inaccurate data.
Polygon Annotation in Action: Use Cases
Indika provides polygon annotation services for various use cases of Machine learning and Computer vision models. Three most popular use cases.
- Semantic Segmentation for Asymmetrical Objects- Autonomous Driving
Polygon annotation is a better method for semantic and instance segmentation. However, a most precise tool is needed to detect irregular shapes like pedestrians or bikes in a street scene. A valuable technique for autonomous driving is Polygon annotation, as it can define the sides of a road, sidewalks, road obstacles, and more.
In the world of autonomous machines, precision is critical for the accuracy of data annotation services. Datasets with polygon annotation demonstrate the best way to ensure pixel-perfect precision in various cases.
2. Aerial Object Localization-Drones and Satellites
Using Drones and Satellites helps detect irregular shapes from the sky, rooftops, chimneys, trees, and pools. Edges and Contours are the building blocks of Aerial view imaginary. Indika annotates all these unevenly shaped objects with a high-precision polygon annotation service.
3. Annotation for Patterns detection- Agriculture
In agriculture, Polygon Annotation enables the annotators to define essential features like crop rows, tracking insect leg positions, and other details that are very difficult to capture with different techniques.
Hire Indika for Polygon Image/Video Annotation
Indika provides the best Polygon annotation services suitable for object detection like logos, disease in CT Scans, road sign boards, different human postures in sports analytics, and many more. In addition, Indika helps with machine learning, Computer Vision, and AI-based models by providing high-quality datasets for training and ensuring the model's accuracy. Furthermore, Indika offers affordable image/video-based training datasets for polygon annotation created by our team of expert data annotators.
Are you looking to enhance the quality of the datasets you're using to train your algorithms? If so, why wait? Get in touch today with our expert team to schedule your personalized demo with Indika.