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Bounding box annotation services is the most common and widely used model for Machine learning tasks. The annotators will draw a bounding box over an object and label them with an object class. Generally the bounding boxes are drawn tight with no loose ends. The task seems simple but it requires meticulous effort to keep up the consistency. Bounding boxes are generally used for image annotations.
Our Company, Infosearch offers 2D & 3D bounding box annotation outsourcing services for computer vision and machine learning applications. The use cases are for autonomous vehicle, SKU classification in retail industry, food tray, house objects, Agrotech and many more.
Bounding Box Annotation is used in the industry of autonomous vehicles to detect the vehicles, traffic lights, license plates, streets etc. This technique helps driverless cars to detect all the objects in their surroundings.
Bounding Box annotation can also be used in the retail & ecommerce industries, enabling various objects recognizable and making them easily accessible for visual search. Be it a fashion shop, furniture shop or any online store, bounding box annotation & tagging technique helps to detect various objects from the shelf or display or model.
It helps in detecting the damages in an accident to enable the seamless estimation of insurance claims. With bounding box annotation we can detect the damaged vehicle, broken windows, smashed bonnet, lights and other accessories.