Training Data for Drone Technology | Keymakr (2024)

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:

01. Automatic Annotation

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

02. Bounding Box

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

03. Oriented Bounding Box

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

04. Cuboid

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

05. Polygon

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

06. Semantic Segmentation

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

07. Instance Segmentation

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

08. Skeletal

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

09. Key Points

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

10. Lane

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

11. Bitmap

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

12. 3D Point Cloud

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

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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Professional Data Annotation
for Aerial Imaging

Reviews
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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...

"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...

"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...