Data Sphere Lab

For rapid ML teams, the primary hurdle isn't the model training process—it's acquiring clean, precise, and dependable training data. We address this challenge. Our visual data annotation prioritizes quality to eliminate iterative cycles and speed up your journey to production. Our human-in-the-loop approach ensures accurate results at scale. We don’t merely process your data through a model; every label is applied, reviewed, and verified by skilled annotators who are familiar with the context of your data. To maintain the highest levels of quality and security, all annotation is conducted by our specialized team in Poland, without any outsourcing. This approach, supported by a research collaboration with AGH University of Science and Technology, introduces scientific rigor to every dataset we provide. We are adaptable to your project needs at every phase. Whether you require data immediately or in a month, we scale our team to fit your schedule. Your data remains yours, safeguarded by secure, access-controlled workflows designed to meet your specifications. Our Key Areas of Expertise: To ensure top-quality results, we develop extensive domain knowledge. We focus on providing context-aware data for leaders in: - Automotive: Aiding the development of ADAS and autonomous systems through accurate 2D, 3D, and LIDAR annotation. - Medtech: Annotating medical images with anatomical accuracy for diagnostic and research purposes. - Industrial & Manufacturing: Labeling machinery, defects, and production processes to enhance visual inspection automation. Don’t see your industry listed? Our flexible process enables us to create customized annotation pipelines for any application. Contact us to discuss your project's specific needs. Our Core Services Include: - 2D & 3D Bounding Boxes - Semantic & Instance Segmentation - LIDAR Point Cloud Annotation - Custom annotation pipelines designed for unique requirements. Start developing superior models! Visit our website or message us here, and we will respond as quickly as possible!