KaiiSoft | Multi-skilled Software Development Company

WHAT IS GEOSPATIAL ANNOTATION?

Geospatial data annotation involves preparing maps, satellite photos and other images with a wide variety of data annotation techniques. This usually includes things like information about the location, characteristics of objects, and many other attributes to allow AI systems to understand real-world phenomena to a specific geographical area.

This process usually involves annotating large datasets obtained from many diverse sources in varying formats. All of this data adds more context and makes various events easier to understand. The AI systems can identify visual patterns and images give insights that could be missed in a large spreadsheet. Predictions may become more precise, quicker, and easier as a result.

OUR GEOSPATIAL ANNOTATION SERVICES

Polygon annotation

This method involves drawing a set of coordinates around an image. It is best to use this technique to annotate objects that do not neatly fit into a square or rectangular box.

Semantic segmentation

If you are looking for a very detailed type of annotation, then semantic segmentation would be a good choice. It is a deep learning technique that gives each pixel in a picture a label or category. It is employed to identify a group of pixels that make up different categories.

Image classification

Data annotators use predetermined criteria to classify and identify groups of pixels or vectors inside a picture. It is possible to create the classification law using one or more textural or spectral properties.

Object tracking

Object tracking facilitates real-time or on-film object location determination. Algorithms for object tracking monitor an object's motion and give particular information about it. Each object is labeled from one frame to another to determine its geographic location.

LiDAR annotation

Annotating LiDAR images involves semantic segmentation, object recognition and other types of annotation. To accurately name every point of an item with the same class, the annotator must perform a great deal of scene navigation and angle change observation.

Landmark annotation

Data annotators place points on certain areas inside the image to help locate an image's component pieces. It is very useful for small objects and shape variations by creating dots across the image.

Why Us

Quality With Accuracy

Get the best-in-class quality services with highest accuracy level delivering an excellence in image annotation through multiple stages of auditing and reviewing of labeled data.

Security With Privacy

We are certified with SOC 2 TYPE 1 Company for maintaining the high standards of data security with privacy while working with our clients to ensure their confidentiality.

Fully Scalable Service

Working with hundreds of workforce to annotate pictures as per the demand providing a completely scalable solution with turnaround time to meet the different client’ needs.

Cost-effective Pricing

Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with best efficiency.