Our use case is on-device machine learning for faster data shuffling and performance, scalable, secure information. Works fully offline for maximum portability from photos to the current location, data will be safe entirely on a device and can be transferred on preferred connection only.
AI annotation services for robotics and numerous use cases in security monitoring, drones, warehouse logistics and consumer insights. Our platform can easily adopt to existing file structures and setup such as industrial robots and warehousing.
The human factor through human resources training. Data labeling is a job that low-skilled workers will be able to perform. Humans still have an important role in teaching machines how to understand information. AI labeling for employment and technology adoption is our use case for a balanced working environment. We will equip less grassroots communities with data labeling skills to be able to do remote work and generate income without leaving their households.
Capturing and labeling objects in a video.
Labeling objects in the shape of the object.
Attaching additional information of the object
Detecting various objects by drawing boxes
Labeling objects in an image