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Livestock

High-quality data labeling for livestock management - from farming technologies to health monitoring, herd counting, and much more.
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Expert Labeling
of Livestock Data

Livestock Data Annotation services for a wide range of computer vision applications.
Livestock Data Annotation
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New “smart farm” technologies are monitoring the health of farm animals with a high degree of accuracy, using cameras and artificial intelligence. Detailed observation by AI-powered image analysis could enable early detection of injuries and illnesses that may impact the quantity and quality of your production.

Accurate labeling of your livestock data can help train AI for many useful tasks. Most common types of annotation:

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Livestock
Annotation Types

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01. Automatic Annotation

Fast AI-assisted labeling for your farm animals - our team will validate every single image or video frame for quality control.

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Automatic Annotation

02. Bounding Box

Label individual animals as objects with the help of bounding boxes to help AI distinguish between them and everything else.

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Bounding Box

03. Oriented Bounding Box

Farm animals don’t usually stand in place for nice pictures - that’s why we angle bounding boxes for additional accuracy while labeling them.

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Oriented Bounding Box

04. Cuboid

A more complex labeling technique for specifying extra dimensions of your animals or other objects based on an approximation.

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Cuboid

05. Polygon

Used for irregular shapes such as animals of vastly different sizes, identifying individual parts of their bodies, and so on.

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Polygon

06. Semantic Segmentation

Helps annotate entire scenes from your livestock data by classifying objects in the same category so the system learns to recognize them.

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Semantic Segmentation

07. Instance Segmentation

Sometimes, further segmentation is necessary for individually labeling every single animal in your livestock data.

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Instance Segmentation

08. Skeletal

Use connected lines to understand the exact shape of your farm animals - helps keep track of their position, posture, etc.

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Skeletal

09. Key Points

Create granular individual points on a larger image, usually meant for fine detail important in health monitoring and things like parasite detection.

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Key Points

10. Lane

Label lanes such as footpaths, grazing zones, or fencing for your AI to better understand livestock data at your particular location.

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Lane

11. Bitmap

Annotate separate parts of the same object or animal, usually when the image is cut or particularly complex.

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Bitmap

12. Custom

Mix and match different types of livestock data annotation to create better training data. Create unique clean datasets for your smart farm.

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Custom

Professional Data Annotation
for Livestock

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Get accurate data for your livestock-related AI needs from experienced annotation teams!

01. Common Uses of Computer Vision AI in Livestock Management

Keymakr helps computer vision AI detect all sorts of objects with high precision. This includes:

  • Visual data annotation for sickness detection and health monitoring.
  • Video annotation and object tagging for abnormal behavior detection, feeding and intake rates tracking, lying detection, and movement-enabling detection.
  • Drone image annotation for herd counting in the field.

02. Sickness Detection and Health Monitoring

Sickness Detection

AI models can promote livestock welfare with the help of image annotation. Keymakr can help you label images of animals in a variety of situations, allowing machine learning models to accurately assess the condition of any animal. When combined with other livestock data, this process can help create an early warning system - helping farmers take action before sickness takes root in the herd.

03. Object Tagging for Abnormal Behavior Detection

Video annotation represents a significant investment of time for smart farming AI companies. Keymakr’s annotation platform and experienced labeling teams can remove this burden from developers whilst delivering quality data on a tight schedule. Technology supported by this data can protect livestock and increase profitability. Furthermore, if your farm includes both livestock and agriculture operations, we can help create clean data for both.

04. Lying Detection and Motion Tracking

Motion Tracking

Polygon annotation and semantic segmentation techniques can be applied to images to allow AI models to track animal movement and chart activity levels. You can easily understand which times of day your herd is most or least active at, and plan activities accordingly.

05 Feeding and Intake Rate Tracking

Feeding and Intake Rate Tracking

Farm monitoring technology is transforming livestock management and allowing farmers to access granular levels of information about their animals. Keymakr can offer you training datasets that enable AI models to track feeding rates, ensuring that animals are eating and growing properly. Our in-house team of experienced annotators works with data at every level of detail.

06 Herd Counting in the Field

AI-powered drone technology helps farmers count herds automatically to quickly find missing or wounded animals. Video and image annotation powers this tracking technology. Keymakr’s datasets used for training your system come with pixel-perfect precision guaranteed by multiple layers of quality control.

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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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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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