In 2020, Segments.ai launched as a data labeling solution designed explicitly for segmentation. Initially, we had many customers in the robotics and autonomous driving industries. This stimulated us to address the complex needs of autonomous navigation, leading us to introduce point cloud support.
Through close collaboration with our customers, we quickly realized that manually labeling multiple modalities can be time-consuming, costly, and ineffective. Therefore, we shifted our focus towards providing multi-sensor support by integrating built-in projection steps and automation.
For robotics and autonomous driving
Automotive and robotics companies increasingly use lidar, radar, and camera sensors during labeling and deployment. The more sensors they use, the more accurate and robust their ML models become.
However, using additional sensors also requires more budget and time for development and training. According to a recent study, more than 70% of ML engineers spend over 50% of their time building training data.
Segments.ai is committed to providing the best solutions for computer vision engineers and data scientists who work in the autonomous sectors. Data labeling on Segments.ai seamlessly integrates with your pipelines and infrastructure, making it easier to build multi-sensor training data at scale and iteratively.