Geospatial Annotation Services
Geospatial Annotation Services are carried out on geospatial 2D images, aerial images, and map images using different annotation techniques to create accurate training datasets for geospatial AI models.
What Is Geospatial Annotation Services?
Geospatial annotation Services are the process of annotating satellite or drone imagery. It involves annotating natural and artificial geographical features such as dams, roads, buildings, forests, and land use to create a map of the area’s geography captured in the image. Annotated geospatial data finds uses in several industries, including timber, mining, transportation, and defense.
Different Types Of Geospatial Annotation Techniques
Geospatial data annotation from 2D images follows the same principles as other image data annotation projects. The annotation techniques are the same, although the choice of the technique varies based on the intended use of annotated geospatial data.
Polygon Annotation
Polygon annotation is a precise method of annotating an object along its edges. It involves plotting x and y points along the edges of the annotation object and connecting all the points with a continuous line. For remote sensing technologies, this annotation technique creates training data for AI models to understand the contours of physical features such as rivers and roads.
Polyline Annotation
It involves drawing continuous lines on the object of interest in an image. Polyline Annotations are often used to mark road lanes, sidewalks, and powerlines to help autonomous cars navigate. In geospatial annotation they can be used for aerial view annotations of objects such as roads, powerlines, and rivers needed by computer vision models in drones.
Semantic Annotation
Semantic segmentation involves annotating all instances of an object in an image at the pixel level and assigning them predefined categories. Its high precision and ability to discern objects at the pixel level are useful in training computer vision models for remote sensing systems that accurately detect and differentiate objects in satellite and drone imagery.
Point Of Interest Tagging
Point of interest tagging involves placing points on specific areas or objects of interest in the geospatial image. The points can then be used to extract useful information about the object or region of interest, including the attributes, variation, and behavioral patterns. The annotation technique can train AI models to monitor illegal deforestation or encroachment of water bodies.
Image Classification
Image classification in geospatial annotation involves assigning image pixels a class coinciding with the land cover. It is a common technique used in remote sensing technologies. Different pixels in an image are labeled and categorized to distinguish between different land usage, such as water bodies, forests, buildings, etc.
Point Annotation
Point annotation is a technique that involves placing points at specific areas in an object of interest. The technique is useful in training artificial intelligence models to identify the position of the area of interest. Geospatial annotation can accurately detect specific features on objects such as chimneys and solar panels on rooftops.
Geospatial Annotation Services For Drone, Satellite & Aerial View Imagery
Geospatial annotations help create 3D geographic models useful in training geospatial machine learning models. Once annotated, the geospatial data acquired from different sources, including satellites or drone imagery, becomes a powerful data visualization tool that can be used to make better and more informed decisions.
95% high accuracy
At Annotation Box, we strive to annotate your spatial data with an accuracy of at least 95%, guaranteeing the success of the machine learning model.
cost-effective pricing
Our pricing plans are not cast in stone. We believe in offering competitive prices that are fair to you and us.
data security
We have worked hard to ensure that the data you provide to us remains secure and private. We use the highest encryption standards, and all our experts sign NDAs.
Why Choose Us?
At Annotation Box, we offer exclusive geospatial annotation services to achieve better resource utilization. Our team of experts has over five years of experience using robust annotation tools to consistently and accurately annotate millions of pixels.
1000+
Trained Experts
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Accuracy
50+
Happy Clients
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Successful Projects
Get Us Onboard For Geospatial Annotation Services
We believe every project is a chance to help improve humanity. We are constantly committed to carrying out tasks diligently by providing high-quality data annotation services and ensuring the fulfillment of project objectives. Come work with us, and you will not regret our geospatial annotation service.
Geospatial Annotation Use Cases Across Various Industries
Geospatial data is used in various industries where spatial data visualizations provide useful information to make decisions. In some industries, such as construction and mining, geospatial data is used to train drones and computer vision models to carry out various tasks, including identifying, counting, and categorizing objects.
Land & Forest Inspection
Geospatial Annotation for Land & Forest Inspection helps satellite imagery and aerial imagery, which can be used in forest management to detect, monitor, and determine trends in forest cover accurately. Well-annotated satellite images can be used to identify agricultural fields captured. Over time, experts can use this spatial data to identify historical evolutions in land usage.
Construction & Mining
Well-Geospatial Annotation For Construction & Mining can train drones to count and identify different objects on a construction site. Spatial data can also be used to inspect equipment in mining sites. For new mining sites, it enables a mining company to evaluate the presence of objects such as houses, roads, trees, and electricity transmission lines.
Aerospace & Defence
Geospatial Annotation For Aerospace & Defense can be coupled with infrared channels to increase the efficiency of standard detection models. These can then be used in various settings, including at night or at sea, to detect small or faraway objects. These models are used in warplanes to detect targets accurately at night.
Natural Disasters
Geospatial Annotation For Natural Disasters helps Drone to use labeled spatial imagery datasets for smart disaster management. The models can then be deployed to assess the extent of damage in disaster-hit locations without having human workers on the ground. They can also coordinate evacuation and rescue efforts in emergency management during floods or forest fires.
Urban Management
Geospatial Annotation for Urban Management can extract building footprints, count the number of houses, and determine the presence of open spaces and roads necessary for city planning. With such information, city planners can choose where to place public amenities, industrial areas, and street routes. It can also help plan for the expansion of facilities such as sewerage to address increasing population density.
Logistics & Transport
Geospatial Annotation For Logistics is used in logistics to plan routes. Logistics and transport companies can determine the shortest paths, avoid traffic congestion, and plan for alternatives, allowing them to meet delivery deadlines. Satellite and drone imagery is also used to monitor and provide real-time positional and situation data for freight companies to monitor events such as accidents, allowing them to respond swiftly and appropriately.
How We Work
STEP : 1
Project Assessment
Upon receiving the inquiry we assign experts to understand your project requirements. After in-depth research by our experts and assessing your requirements, we deploy the best data annotation solution for you.
STEP : 2
Sample Data Labeling
After deploying data annotation solution. We begin our work. The first step is to ask for your samples. Once we receive your samples, we run sample data labeling. We label the samples and send you back for your review.
STEP : 3
Training
Once you’re satisfied with our sample. We deploy a training module for the team to impart an in-depth understanding of the project.
Our Quality analyst keeps checking for the desired quality output with our annotators.
STEP : 4
Production
Our dedicated project manager will oversee the team and monitor them constantly to ensure the annotators are meeting the desired output quality set initially and completing the project on time. Annotation Box puts accuracy first and foremost.
STEP : 5
Evaluation
We believe in transparency and high-quality data annotation. Through our continuous feedback cycle, we make sure the annotation is done correctly. Our flexible workforce enables us to scale up production at any time.
STEP : 1
Project Assessment
Upon receiving the inquiry we assign experts to understand your project requirements.
After in-depth research by our experts and assessing your requirements, we deploy the best data annotation solution for you….!
STEP : 2
Sample Data Labeling
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STEP : 3
Training
Once you’re satisfied with our sample. We deploy a training module for the team to impart an in-depth understanding of the project.Our Quality analyst keeps checking for the desired quality output with our annotators.
STEP : 4
Production
Our dedicated project manager will oversee the team and monitor them constantly to ensure the annotators are meeting the desired output quality set initially and completing the project on time. Annotation Box puts accuracy first and foremost.
STEP : 5
Evaluation
We believe in transparency and high-quality data annotation. Through our continuous feedback cycle, we make sure the annotation is done correctly. Our flexible workforce enables us to scale up production at any time.
Geospatial Annotation Services – FAQs
Q1 What is the best annotation technique for my project?
In annotation, there is no one-size-fits-all approach. The choice of annotation technique will depend on the objectives of your project. Please speak to our experts today for further advice.
Q2 How long should a geospatial annotation project take?
The time a project should take depends on several factors, including the annotation technique, the complexity of the annotation image, and the number of annotation objects per image.
Q3 How much do geospatial annotation services cost?
The cost of the annotation services depends on the project type and duration, among other factors.
Q4 How do I get the best geospatial annotation services?
Ensure that the company you choose as your provider for geospatial annotation has experience working on such projects, has a favorable pricing model, and will deliver your project on time. Most importantly, ensure the project instructions are well laid out and understood by the company. You may consider having a sample done to evaluate the expected outcome.