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Aerial

High-quality labeling for any industry that uses aerial data - from drone images and footage to satellite imagery, traffic reporting, and much more.

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Expert Labeling
of Aerial Imaging Data

Aerial Data Annotation services for a wide range of computer vision applications.
Expert Labeling of Aerial Imaging Data
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Machine learning is opening up a world of possibilities for aerial image recognition. This technology has countless applications in a wide range of industries. To construct the best computer systems aerial AI innovators need access to the image and video annotation. Our experienced annotation teams and proprietary tools can greatly enhance your aerial AI projects.

Keymakr creates clean and accurate training data for your computer vision models. We annotate and label aerial images and videos with various techniques:

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Aerial
Annotation Types

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01. Automatic Annotation

Fast AI-assisted labeling of your aerial imaging data - our team will validate every single frame of footage for accuracy.

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Automatic Annotation for Aerial Data

02. Bounding Box

Label objects with the help of dragging bounding boxes that help keep track of them. Useful for simple straightforward datasets.

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Bounding Box Annotation for Aerial Images

03. Oriented Bounding Box

Place objects in your aerial imaging footage at the right angle for additional accuracy during the labeling and training process.

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Oriented Bounding Box Annotation

04. Cuboid

Represent your aerial data or drone footage in pseudo-3D by extrapolating height and width from images found in it.

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Cuboid Annotation for Aerial Data

05. Polygon

Outline irregular shapes for important objects such as bridges, infrastructure, non-standard buildings, and so on.

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Polygon Annotation for Aerial Data

06. Semantic Segmentation

Catalogs entire scenes in aerial imaging data by classifying objects - helps your systems understand complexity.

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Semantic Segmentation for Aerial Data

07. Instance Segmentation

An advanced form of segmentation for individually labeling every single instance of an object found in your aerial data.

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Instance Segmentation for Aerial Images

08. Skeletal

Uses connected lines to recognize humans in your aerial data - this helps machines understand position, movement, and so on.

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Skeletal Annotation for Aerial Data

09. Key Points

Methodically labeling individual points of interest in your aerial data for the purposes of fine analysis in complex models.

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Key Points Annotation for Aerial Data

10. Lane

Label lanes or roads often found in your aerial imaging data. Train your AI to better understand infrastructure.

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Lane Annotation for Aerial Data

11. Bitmap

Label multiple parts of the same object separated by other objects blocking it in the foreground. Useful for complex scenes.

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Bitmap Annotation for Aerial Data

12. 3D Point Cloud

Simulate entire 3D environments obtained from aerial data to create full knowledge of distance and real-world relationships between objects.

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3D Point Cloud Annotation

13. Custom

Combine different types of aerial data annotation for your specific needs. Train a custom AI based on clean custom data.

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Custom Annotation Solutions for Aerial Data

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Automatic Annotation icon Automatic Annotation icon hover
Automatic Annotation
Bounding Box icon Bounding Box icon hover
Bounding Box
Oriented Bounding Box icon Oriented Bounding Box icon hover
Oriented Bounding Box
Cuboid icon Cuboid icon hover
Cuboid
Polygon icon Polygon icon hover
Polygon
Semantic Segmentation icon Semantic Segmentation icon hover
Semantic Segmentation
Instance Segmentation icon Instance Segmentation icon hover
Instance Segmentation
Skeletal icon Skeletal icon hover
Skeletal
Key Points icon Key Points icon hover
Key Points
Lane icon Lane icon hover
Lane
Bitmap icon Bitmap icon hover
Bitmap
3D Point Cloud icon 3D Point Cloud icon hover
3D Point Cloud
Custom icon Custom icon hover
Custom

Professional Data Annotation
for Aerial Imaging

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Get accurate and clean data for your computer vision systems from aerial and satellite imagery!

01. Common use cases of CV AI Aerial training data preparation

Custom Annotation Solutions for Aerial Data

Keymakr’s accurate datasets train aerial AI applications to recognize objects in varied environments that reflect the complexity of the real world.

  • AI-enabled drone applications
  • Satellite image annotation
  • Construction progress tracking by annotation of differences between the images
  • Construction site safety
  • Equipment tracking
  • Property monitoring
  • Road traffic reporting
  • Pipeline monitoring

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02. Drones

High-Quality Aerial Training Data

Drones are widely used in countless scenarios: from military operations to precision agriculture.

Images and videos captured by them are incredibly helpful for training AI. However, to make use of them, you need video and image annotation for drone flying training data.

Annotation services, like Keymakr, can scale up video labeling, including segmentation, to whatever level is necessary for a given smart drone project. This time-consuming task is therefore taken off the hands of developers, and fulfilled by proprietary annotation tools operated by experienced staff.

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03. AI-enabled Drone Applications

  • Drones provide real-time aerial views for people and object tracking in hard-to-reach places or hazardous terrain.
  • Videos made by drones can also be annotated to identify moving objects and specific events.

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04. Quality Datasets from Raw Data

Our annotation techniques produce accurate and fast labeling, even with suboptimal raw data. This includes conditions like fog, smoke, rain, vibration, and low light. In applications like autonomous disaster intervention, the quality of training data is vital to mission effectiveness.

Teams and processes at Keymakr are extremely responsive to the particular needs of any project. Troubleshooting is much easier when working with in-house teams who are dedicated to filling gaps in training data.

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05. Equipment Tracking and Property Monitoring

Equipment Tracking and Property Monitoring

Keymakr’s services can play a key role in the development of monitoring capacity with smart image annotation. Experienced annotation teams can quickly create suites of training data in which differences between images are annotated precisely, supporting promising computer vision applications that use aerial data to function.

Autonomous flying can also be achieved with quantified approach parameters and topographical check-point labels. Quality training datasets can optimize your drone use for:

  • Construction site safety
  • Equipment tracking
  • Property monitoring
  • Road traffic reporting

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06.Field Monitoring

Once equipped with a proper pattern-matching toolset drones can assist in agriculture:

  • Crop health monitoring
  • Ripeness evaluation
  • Soil condition assessment
  • Pest detection

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07.Satellite Image Annotation

Satellite Image Annotation

If your project requires image annotation, data collection, or any other type of custom dataset, we will know what to do and how to approach all related challenges.

Keymakr can help you create complex geospatial models from satellite photos or GIS and GPS data, annotating each element with the highest precision possible.

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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...

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Data Annotation For Aerial (Drones)

AI drone inspection

Get accurate analytics from aerial imagery and drone video to detect damage, corrosion, cracks, and infrastructure assets in the energy, construction, and agriculture sectors.

Drone imagery analysis AI

Use object recognition and semantic segmentation for landscape classification, area estimation, and visual inspection with pixel-precise accuracy.

Autonomous UAV surveillance AI

Get tagged drone video streams for autonomous monitoring: detect movement, identify vehicles, and track activity in real time.

Drone delivery route optimization ML

Get optimal drone delivery routes taking into account weather, obstacles, and traffic for accurate and safe logistics.

AI agent for drone operations

Receive customized AI agents trained to manage drone workflows, enabling precise control, real-time decision-making, and seamless integration with your operational systems.