3D Cuboid Annotation Service for In-depth Object Recognition

3D cuboid annotation for in-depth detection of objects creating data sets to train the 3D perception of any model. Cogito provides 3D cuboid image annotation service with an advanced level of accuracy to build the ground truth datasets for object of interest at an affordable cost.

3D-enabled Perception for Self-driving Cars

The best way to assist the learning of autonomous vehicles’ 3D cuboid annotation is by recognizing through 2D images/videos the precise detection of such objects. Cogito practises 3D cuboid image annotation precisely helping self-driving cars to sense other moving objects and providing accurate information to the system for hustle-free driving.

3D-enabled Self-driving Cars
Precise Segmentation Indoor Objects

Precise Segmentation of Indoor Objects

3D cuboid annotation makes indoor objects like furniture, recognizable to AI perception models through Computer Vision. Images captured by 2D cameras are annotated in the third dimension to build a 3D simulated scenario for Computer Vision. This enables it to detect interior items with accurate dimensions and precise attributes.

3D Cuboid Annotation for Robot Training

Autonomous machines like robots get better training with 3D cuboid annotated images, making the objects recognizable to their perception model. Warehouses and the automobile industry utilize this power of Computer Vision for machines through 3D cuboid annotation, making the robots become familiar with such objects for real-life usage.

3D Cuboid Annotation for Robot Training
3D Cuboid Image Annotation with Cogito

Why 3D Cuboid Image Annotation with Cogito?

Cogito has gained significant years of experience working with world-class companies. Each task here is annotated by well-trained and qualified annotators. Multiple layers of quality check by humans ensures the consistency of accuracy. We have supplied machine learning training data sets for Computer Vision to well-known companies all around the globe.

Contact Us Today!