Data annotation for sensors refers to labeling and tagging information collected from different types of sensors such as radar, LiDAR, accelerometers etc., so that it can be used by machine learning and AI models. Labeled sensor data is important in training algorithms for applications like motion analysis, object detection among others. Sensor data annotation is what makes raw data actionable insights that power intelligent systems.
Our services in sensor data annotation are built around precision, scalability and industry expertise. With many years of working with complex sensor data from various industries behind us, we make use advanced annotation tools and methodologies to produce high quality accurate datasets which will boost performance of AI models. We will customize our service offer depending on whether your project requires multisensor fusion or 3d point cloud annotation or even time-series data labelling.
Annotate 3D point clouds & radar information for object detection, environmental mapping and autonomous vehicle systems.
Labelling satellite/aerial images based geospatial datasets intended for use in environmental monitoring, planning and agriculture etc.
Combine more than one sensor’s input/output signals together during analysis for higher accuracy during model training phase.
Annotating objects within environmental sensor data sets such as landscapes or boundaries which would be used to train AI models for smart cities among other applications in precision agriculture etc.
Objects/features labeling within generated 3d point clouds coming from sensors such as LIDAR(accurate spatial recognition).
If you have a project that requires unique annotation needs not covered in the list above or involves different types of sensors but still want accurate results then we can help.
Since 2018, we have been trusted to provide highly reliable data to some of the biggest names in the AI industry.
We offer competitive pricing without compromising on quality.
Our team consists of highly skilled and trained annotators with extensive experience.
We guarantee the highest accuracy in our annotations to ensure the effectiveness of your AI models.
We prioritize the security and confidentiality of your data throughout the annotation process.
We can handle projects of any size, providing scalable solutions to meet your needs.
Sensor data annotation involves labeling data collected from various sensors (e.g., LiDAR, radar, and cameras) to train AI systems in interpreting environmental information.
It’s crucial for developing AI models in autonomous systems, smart devices, and robotics. Annotated sensor data helps machines better understand surroundings and make real-time decisions.
Sensor data from sources like LiDAR or radar is labeled manually or using automated tools. Key features such as object positions, movements, or obstacles are tagged to help AI recognize patterns.
It’s used in autonomous vehicles, drones, smart cities, and industrial automation. Annotated sensor data allows machines to detect objects, predict movements, and navigate safely.
Challenges include managing the high volume and complexity of data from multiple sensors and ensuring precision in labeling. Specialized tools and expertise are required for high-quality annotation.
We are Expert Data Annotation pioneers in the realm of data labeling and annotation services. With a dedicated team of experts, we specialize in providing high-quality annotation solutions for a variety of data types, including text, images, videos, audio, sensor data, and 3D models. Our mission is to empower AI and machine learning models with precise and reliable data annotations that drive innovation and accuracy.