Computer Vision is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos.
We, humans, use our eyes and our brains to see and visually sense the world around us.
Computer vision is a field of computer science that works on enabling computers to see, identify and process images in the same way that human vision does, and then provide the appropriate output.
It is like transfer human intelligence and instincts to a computer.
In reality, though, it is a difficult task to enable computers to recognize images of different objects.
Computer vision is closely related to artificial intelligence, as the computer must interpret what it sees, and then perform appropriate analysis or act accordingly.
From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
The problem of computer vision appears simple because it is trivially solved by people, even very young children.
And there comes Brodbot with our annotation team.
The brodbot team, with its experience in data annotation and computer vision, can offer our customers precise data labeling with high-quality assurance.
We are working with raw data such as images, video, LiDAR, and radar systems.
Only last year we processed cca 80000 files of which something more than 10000 videos with tagging, almost 24000 images with 2D Bounding Boxes annotated, about 5000 images with LiDAR and radar systems with 3D Bounding Boxes annotated and 40000 images with annotated polygons.
If you are seeking data annotation services, we would recommend our company. Confidential and flexible data annotation team with high-quality assurance can provide a large amount of annotated data and in parallel collect the corner cases base. We can efficiently process thousands of data rows so your models get the information they need to work in the real world. Our experience gives us the ability to create user guidebooks for any discipline related to data annotation.