Logistics

High-quality data labeling for logistics AI - from delivery tracking to warehousing, robotic deliveries, predictive maintenance, automated distribution, and more.

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Expert Labeling
of Logistics Data

Logistics Data Annotation services for a wide range of computer vision applications.

Logistics professionals already actively make use of AI in daily operations - it’s become a staple in the industry for things like scheduling, automation, and warehousing.

However, clean datasets combined with modern computer vision can help train AI that goes well beyond what we’re used to. Starting with annotated logistics data as a base, you can track and control every process in the industry.

Here is how Keymakr can help:

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Logistics
Annotation Types

01. Automatic Annotation

Fast AI-assisted labeling for your logistics data - humans validate every image or video to ensure clarity and accuracy.

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Automatic Annotation

02. Bounding Box

Manually label individual objects such as trucks, boxes, people, and so on when they’re relevant to your logistics process.

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03. Oriented Bounding Box

Used for showing the exact angling of an object for tracking it between frames or identifying it more accurately for the system.

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Oriented Bounding Box

04. Cuboid

Extrapolates the volume of your objects from an image or video - particularly useful for labeling trucks, crates, and containers.

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05. Polygon

Helps label irregular shapes and non-standard objects such as individual parts of a vehicle, ropes, unique items, and so on.

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06. Semantic Segmentation

We catalog a whole scene for the computer system to distinguish between the background and various objects in it.

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Semantic Segmentation

07. Instance Segmentation

A more precise form of segmentation that individually colors and labels every repeated object for a deeper analysis.

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Instance Segmentation

08. Key Points

Granular labeling that’s used for minute pieces of data - the tiredness in the eyes of your driver, small letters printed on a crate, and so on.

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09. Lane

Helps label roads, lanes, tracks, and other important infrastructure at every leg of your logistics AI training.

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10. 3D Point Cloud

Uses lidar to teach your AI how to orient in a 3-dimensional space. Complex but has many applications for systems like autonomous delivery robots.

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11. Custom

Every AI system is unique, and logistics is a complex industry with lots of niche applications. Most of our clients combine different annotation techniques for optimal results.

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11

Need
custom solution

Professional Data Annotation
for Logistics

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

01. Delivery Control

Delivery Control

Train your AI to control every leg of your logistics from first arrival to the warehouse or facility to final delivery. Accurately labeled datasets can help you:

Use warehouse cameras to monitor and catalog goods
Automatically change the status of deliveries based on CV data.
Utilize in-vehicle systems to ensure safety and timely delivery.
Control the handling of fragile items, hazardous materials, etc.
Train delivery bots to understand their environment and do deliveries for you.

02. Measure, Never Guess

logistics applications

Keymakr can help you build datasets for all sorts of unique logistics applications, down to precise measurements of your goods extrapolated from camera footage. If logistics are just a part of your larger operation, you can integrate computer vision systems into systems like manufacturing, construction, automotive data, and so on.

Clean data can help you keep tight control of supply chain management at every level.

03. Superior Risk Management

Superior Risk Management

Access to data helps logistics professionals make all sorts of decisions when it comes to insurance, guarantees, planning, and so on. Deploying AI that can improve these processes doesn’t only improve efficiency, it can be the difference between success or extra liabilities.

For example, predictive maintenance can help keep all your warehousing equipment and delivery fleets in optimal shape so you never have to deal with unexpected costs and delays. Keymakr’s logistics data labeling experts make theoretical AI applications a reality.

04. Automate Every Step of Your Process

Automate

Whether you’re a third party providing logistics, or a producer handling every part of the process, there are many ways to improve your process with additional automation. Logistics AI can help:

Manufacturers to seamlessly integrate logistics with the production process.
Smart farm producers to automate crop logistics and herd management.
Construction enterprises to automate material deliveries and staffing.
Retail companies to ensure on-time delivery and optimal in-store placement.
Any business to develop automatic protocols for warehousing and distribution.

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...

Meet
Keylabs

We created a proprietary annotation platform with enterprise-grade tools capable of achieving pixel-perfect labeling for all your AI training datasets.

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Keylabs can help you handle annotation projects of any complexity. Our platform was originally created for internal use, so usability and quality are main priorities. Keylabs features a full suite of annotation techniques that can be adapted for your specific needs.

You can work with projects of any size and label vast quantities of data. The in-built management tools will help you collaborate on projects and get the most out of your data.

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