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Waste
Management

High-quality data labeling for the waste management industry - from sorting to processing, logistics, automation, and other applications.
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Expert Labeling
of Waste Management Data

Waste Management Data Annotation services for a wide range of computer vision applications.
Expert Labeling of Waste Management Data
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Computer vision models are increasingly being deployed to manage waste and recycling systems. This vital artificial intelligence technology can greatly improve waste management efficiency, keep workers safe from harmful materials, and help protect the environment. Keymakr is at the forefront of this revolution in machine learning, creating accurate training datasets for innovators in the field.

Choose the annotation type that suits the needs of your project best, alternatively, we can create a unique annotation approach based on your requirements:

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Waste Management
Annotation Types

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01. Automatic Annotation

Fast AI-assisted labeling of your waste management data - our team will validate every single image for quality control.

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Automatic Annotation

02. Bounding Box

Label objects with the help of bounding boxes that help us mark simple objects. Useful for common types of waste data.

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Bounding Box

03. Oriented Bounding Box

Place objects in your waste management datasets at the right angle for additional accuracy during the labeling and training process.

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Oriented Bounding Box

04. Cuboid

Represent objects in your waste processing data with additional dimensions for things like containers, bottles, and so on.

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Cuboid

05. Polygon

Outline irregular shapes for relevant objects such as pieces of debris, construction waste, unique items, and so on.

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Polygon

06. Semantic Segmentation

Catalogs entire scenes from waste management data by classifying objects - helps your systems understand complexity.

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Semantic Segmentation

07. Instance Segmentation

An advanced form of segmentation for individually labeling every single instance of an object found in your images or footage.

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Instance Segmentation

08. Skeletal

Uses connected lines to label human-like shapes such as your workers - helps understand their position, catalog movement at a facility, etc.

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Skeletal

09. Key Points

We methodically label individual points of interest in your waste management data for detailed analysis.

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Key Points

10. Lane

Label lanes such as your conveyors or roads used by your waste disposal trucks en route. Train your AI to better understand infrastructure.

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Lane

11. Bitmap

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

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Bitmap

12. Custom

Combine different types of data annotation for your project. Train a unique AI based on clean custom waste and disposal data.

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Custom

Professional Data Annotation
for Waste Management

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Get accurate data for your computer vision systems from seasoned annotation experts!

01. Waste Management AI Image Recognition

Waste Management AI Image Recognition

Waste management and recycling have become important topics in the world of plastic pollution.

Teach your computer vision model to recognize types of waste and identify what can be recycled. Train your AI to automatically sort different types of waste based on clean and precisely labeled datasets.

02. Management of Medical and Hazardous Waste

Management of Medical and Hazardous Waste

When it comes to handling medical and biohazardous waste processing, extra protection and caution are vital. That’s where industrial robotics comes into play. Modern robotics systems can sort dangerous objects such as sharp or toxic materials without human intervention. With the help of our datasets, you can teach your AI to recognize such objects and take action accordingly.

Image annotation using image segmentation techniques helps AI models classify different materials, allowing them to quickly spot danger and provide early warning to human operators.

03. Marking Annotation

Marking Annotation

Most paper, plastic, glass, metal containers, and packaging have recycling-type markings. For example, "1-PETE, 2-HDPE, 3-V, 4-LDPE, 5-PP, 6-PS, 7-Other" for plastic containers. We can annotate each specific marking type and help your computer vision system categorize waste according to these labels.

AI for smart recycling can revolutionize the recycling process, ensuring that less waste finds its way to landfills. Our teams of annotators, along with their experienced managers, are capable of producing precisely labeled marking data annotation at a scale that best suits your project.

04. Aerial Annotation for Waste Management

We annotate drone footage, images, and videos of landfills to find specific types of waste. If your project involves searching for plastic waste in the ocean or remote locations, there is no better way to do it than drone or satellite imaging. Keymakr specializes in annotating videos taken in different weather and light conditions.

The time-consuming and labor-intensive nature of video annotation can be prohibitive for many AI companies. Keymakr can take on this burden instead. Our unique annotation platform optimizes video labeling tasks so that they are accomplished quickly and accurately.

05. Waste Categorization for Sorting Facilities

Our image annotation and labeling for waste management can help your sorting facility become more efficient. Computer vision models based on our annotated data can be implemented to sort waste and make human labor easier and faster with the help of industrial robotics.

Our quality control processes ensure that the images and videos in your training datasets will improve the performance of your model. Keymakr supports your robotic waste sorter project by employing three layers of human verification. In addition, we use another layer of script-based verification for quality assurance.

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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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