Two-dimensional BOUNDING BOXES


Object positioning for self-driving vehicles. They are mainly used in the training of autonomous models such as lane obstacles and pedestrians.

They are also used for object recognition in e-commerce. They are applied to the training of machine learning models in the field of visual search to enhance the identification of different things.

They can be used to detect the degree of damage to the insurance by applying it to identify roof and vehicle damage, or to identify safety parameters using real-time images. This is used to program a machine learning model to detect the extent of damage caused by an insurance claim.


In INCN technology, we are experts in developing datasets using a large number of bounding boxes that are completely drawn in just a few days.


Please fill the form to get instant reply.