Video Annotation Outsourcing

Our annotators excel in handling edge cases in various Computer Vision verticals dominating the AI space. The value of edge cases, derived from human insights and cultural understanding, contributes significantly to the robustness of the input dataset and its parent ML Model. Achieving minimal bias while assessing edge cases requires a deep comprehension of guidelines, extensive training in specific types of imagery, industry knowledge, practical understanding of ML model applications, and access to detailed "decision playbooks."

Outsourcing video annotation to experts enables you to provide rich, structured datasets to your ML models, integrating high-value human insights that boost the accuracy and performance of your AI systems. Our annotators specialize in video detection and video tracking, ensuring the highest quality of video data.

For instance, a deep knowledge of the extensive array of categories and subcategories of objects, vehicles, and obstacles in real-world scenarios allows our annotators to discern between signal and noise. They expertly detect objects and label, classify, and annotate multiple types of objects in videos using techniques like video segmentation, polygon annotation, and bounding box annotation. This structured data is crucial for ML models in self-driving vehicles, drones, navigation systems, or security and surveillance programs.