Growing popularity of AI around the world has made many companies working on this developing technology to take advantage of the power of AI. Machine Learning is one of the features of artificial intelligence. AI can learn tons of data and provide output based on the information put into it. During the process of machine learning, data annotation is required to prepare a dataset for training and important to input data to get meaningful output.
Accurate data labeling is necessary for AI to learn the data correctly.
Here are the factors for you to consider before embarking on a Data Annotation project.
There are several types of data; image, text, video, audio, radar/ lidar data, and MRIs/CT scans. Those can be the source of information input into AI for machine learning.
The more AI learns data, the more accurate the output by AI will be because the outcome depends on the dataset input into AI. If a dataset lacks some information or has bias, AI will provide an output based on that information.
For image annotation, there are types such as polygons, polylines, bounding box, 3D cuboids, segmentation, and landmark. AI identifies the objects. Objects can be vehicles, lanes, signs, people, furniture, cells, etc. For example, polygons, polylines and segmentations are used to achieve autonomous driving. Identifying objects on the roads such as cars, lanes, pedestrians is to make a vehicle move independently and safely.
There are three types of annotation tools: open source, client provided, and LQA developed tools. Cityscape Dataset, GIMP, and ViTBAT are examples of open source tools. LQA has LQA Annotation and LQA Project Management as in-house developed tools.
Lotus Quality Assurance (LQA) offers global standards and local human resources, meaning that it provides services with high quality and reasonable labor costs. LQA’s strength in AI technology is the data annotation service with reasonable price and high quality, which comes from years of experience in the industry and continuous efforts for improvement of quality control process improvement. LQA supports companies thorough services built with experience and expertise.