Image Annotation

Cuboid Annotation Tool

Cuboid annotation tool precisely detect the depth and height of your object of interest.

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Trusted by leading companies around the world

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Highly Flexible Tool

Cuboids are available both in 2D and 3D. Their “side of interest” can be used to designate the front of a vehicle, the direction of driving, or any other relevant information.

Efficient Annotation Platform

Our multi-click technology increases performance and precision and allows our expert annotators to draw a highly accurate cuboid in just three clicks.

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Full Spectrum Labeling

Custom classes, multiple attributes per instance, and hierarchical relationships are available to meet your needs.

Cuboid Annotation Tool Use Cases

Object Detection

Detect vehicles, pedestrians, traffic lights and signs for autonomous vehicles use cases

Object Localization

Localize specific parts of a vehicle for manufacturing automation

Depth and Height Detection

Visualize furniture in your home with AR/VR

Highly Rated by Our Customers
"We have been impressed, not only with their consistent level of high quality, but with their entire approach to training data strategy. To us they are a perfect addition to our work in AI."

Demetrio Aiello, Head of the Artificial Intelligence & Robotics Labs, Continental

Highly Rated by Our Customers
“In a partner we’re looking for someone that can handle the volumes of data that we can generate, and handle those volumes in a quality manner. Sama is able to fulfill our business requirements, and do that cost effectively, but they have the added benefit of being an impact provider.”

Steve Heck, Former CTO, Getty Images

Highly Rated by Our Customers
"Quality is important to Sama. You really get the sense they are there for more than just the financial transaction. They are a true partner."

Vamsi Madabhushi, Former Senior Manager of Product Management, Walmart

Highly Rated by Our Customers
"Sama was a force multiplier for us and a key success factor for our project. They delivered high-quality annotated data on time, listened to our feedback, and were very flexible in accommodating our requests.”

Xuan Yang, Computer Vision Researcher, Google

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