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Construction

High-quality data labeling for construction AI - from predictive maintenance to safety, corrosion detection, infrastructure development, and more.
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Expert Labeling
of Construction Data

Construction Data Annotation services for a wide range of computer vision applications.
Construction Data Annotation
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projects
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Construction enterprises can make great use of AI systems at every stage of a given project - from planning to building, maintenance, and adherence to safety protocols.

However, all these applications require accurately labeled data for training computer vision systems. Keymakr helps innovators in construction create powerful datasets that make deploying AI at every stage of the process possible. Here is how we do it:

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Construction
Annotation Types

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01. Automatic Annotation

Fast AI-assisted labeling for your construction data - our team will ensure that every image is manually checked by humans for insurance.

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Automatic Annotation

02. Bounding Box

Manually label individual objects such as buildings, construction materials, and so on in your images or footage from sites.

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Bounding Box

03. Oriented Bounding Box

Used when the more precise angle of your object matters, such as when tracking the movement of construction workers or cranes.

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Oriented Bounding Box

04. Cuboid

Extrapolates volume of objects from images and videos - useful for any project that involves containers, trucks, and so on.

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Cuboid

05. Polygon

Used for labeling irregular shapes and non-standard objects such as ropes, cords, bulkheads, and other specific items.

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Polygon

06. Semantic Segmentation

Helps catalog an entire site along with its background and foreground objects for AI to distinguish between many objects.

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Semantic Segmentation

07. Instance Segmentation

Breaks scenes down into a finer level of detail where each instance of an object gets a separate label and color.

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Instance Segmentation

08. Key Points

Granular labeling of small dots that usually comes in handy for more specialized projects such as corrosion detection.

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Key Points

09. Lane

Labels roads, lanes, pipelines, tracks, and other parts of infrastructure relevant to your computer vision system.

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Lane

10. 3D Point Cloud

Uses lidar to get full 3-dimensional snapshots of construction sites to better represent ranges and relationships between objects.

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3D Point Cloud

11. Custom

Most construction companies opt to combine different types of data annotation to create entirely custom datasets for training unique AI.

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custom datasets

Professional Data Annotation
for Construction

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Get accurately labeled construction data for your AI training from expert annotation teams!

01. Site Safety

Site Safety

Train your AI to ensure worker safety and compliance with protocols at every stage of your construction process. Take advantage of carefully labeled datasets to:

  • Use cameras and computer vision to monitor compliance
  • Detect safety hazards at any stage of the process
  • Ensure your workers adhere to safety procedures
  • Monitor equipment quality to ensure continual operation

02. Precise Measurement

Precise Measurement

Use AI systems to always stay on top of your measurements and planning. You can train computer vision systems to detect discrepancies in engineering or construction calculations based on operational and visual cues.

In addition, clean data can help train your AI to predict the needs of any given site when it comes to tools, equipment, materials, and so on.

03. Equipment and Site Maintenance

Equipment and Site Maintenance

One of the most promising applications of AI in construction is in predictive maintenance. You can detect the wear and tear of your equipment and repair or replace it before it becomes a safety hazard.

Moreover, after successful construction AI can be used for further maintenance of sites. You can deploy sophisticated systems that detect weather damage, corrosion, cracks, and so on.

04. Streamline Construction Logistics

Streamline Construction Logistics

Use sophisticated computer vision systems to control all your deliveries and keep track of various subcontractors employed in your process. Training construction AI on clean and accurate data can help:

  • Automate deliveries of materials and tools.
  • Schedule maintenance at least congested times.
  • Create a database of approved workers for site security.
  • Develop protocols for warehousing and distribution.

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"Delivering Quality and Excellence"

The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

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"Great service, fair price"

bility to accommodate different and not consistent workflows.
Ability to scale up as well as scale down.
All the data was in the custom format that...

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"Awesome Labeling for ML"

I have worked with Keymakr for about 2 years on several segmentation tasks.
They always provide excellent edge alignment, consistency, and speed...

Meet
Keymakr

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We bring deep hands-on experience with validating, labeling, and creating data to your project so you can focus on what you
do best - developing amazing solutions.

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Keymakr started with a core team of 10 employees in 2015 and grew to employ over 1000 in-house team members in just two years. We are not only helping to create the best AI possible, we are
creating jobs for people that are as passionate as we are about technology.

To achieve this, we created a proprietary data annotation platform that enables us and our partners to provide high-quality clean data to anyone in need of it.

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