Your Trusted Image Annotations Partner.
Anmerkung enables engineers to develop high quality perception models to identify, classify and locate objects or entire images by creating pixel perfect image annotations.
Usecases
Computer Vision
Anmerkung enables perception engineers and computer vision researchers to build high performing models by identifying and annotating images with various parameters, classes, environments

Skilled workforce that has worked on multiple labeling platforms to create unmatched productivity in identifying and locating objects in an image/scene. Some of the industries where we support development of computer vision models include Autonomous Vehicles/ADAS, Defect Detection in Manufacturing, Health Diagnostics, Product Identification in Retail.

Anmerkung has strong experience in classification tasks based on the contents of the images. From search and ad relevance to sorting use cases in agriculture, we have helped multiple use cases in classification for content moderation, policy enforcement, recommendation engines etc.

Anmerkung’s auto scaling workforce has made billions of annotations in the last 2+ years. We have extensively worked on multiple use cases and industries with varied quality expectations and SLAs to deliver pixel perfect annotations using Bounding Boxes & Cuboids, Lines Annotations, Point & Polygon Annotations, Part/Full Semantic Segmentation, Classification & Cataloguing.

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Object Annotation
Skilled workforce that has worked on multiple labeling platforms to create unmatched productivity in identifying and locating objects in an image/scene. Some of the industries where we support development of computer vision models include Autonomous Vehicles/ADAS, Defect Detection in Manufacturing, Health Diagnostics, Product Identification in Retail.
Classification
Anmerkung has strong experience in classification tasks based on the contents of the images. From search and ad relevance to sorting use cases in agriculture, we have helped multiple use cases in classification for content moderation, policy enforcement, recommendation engines etc.
Support For All Annotation Types
Anmerkung’s auto scaling workforce has made billions of annotations in the last 2+ years. We have extensively worked on multiple use cases and industries with varied quality expectations and SLAs to deliver pixel perfect annotations using Bounding Boxes & Cuboids, Lines Annotations, Point & Polygon Annotations, Part/Full Semantic Segmentation, Classification & Cataloguing.
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Feature Offerings
Computer Vision
Anmerkung enables perception engineers and computer vision researchers to build high performing models by identifying and annotating images with various parameters, classes, environments
Highest Quality Image Annotations
Pixel perfect accuracy tested by quality mechanisms on various platforms, heuristic checks and other techniques. We have been able to adhere to quality benchmarks that are well above the industry standards with the least amount of re-work as possible to ensure timely delivery and consistent, high quality annotations.
Continuously Improving Productivity
To continuously improve workforce productivity, Anmerkung focuses on rapid feedback loops, unbiased consensus methods and the best tools to offer excellent quality image annotations every time.
Pan-Industry Applicability
Anmerkung has done image annotation projects in various industries and use cases. While AI teams continue to build robust models in the field of autonomous driving, robotics, retail, healthcare, agriculture etc, we continue to support them with world class annotation capabilities where they can rely on Anmerkung to deliver the best annotation output possible.