Video Annotation is marking or tagging video clips used to train computer vision models to recognize or identify objects. In contrast to image annotation, video annotation annotates objects frame by frame to make them recognizable for machine learning models.
High-quality video annotation generates real data sets for optimal machine learning functionality. There are numerous deep-learning applications for video annotation across all industries, including self-driving cars, medical AI, and geospatial technology.
Services
Video Annotation provides services for all annotation projects, including bounding box annotation, polygon annotation, keypoint annotation, and semantic segmentation.
The team works to measure the quality and performance of the work.
And also to deliver the best value for money during the iteration. We recommend running a sample batch to clarify instructions, edge cases, and approximate task times before starting entire collections.
What Are the Different Types of Video Annotation Methods?
- bounding box
- Polygon annotation
- Semantic Segmentation
- key point note
- reference point annotation
- 3D box lettering
- quick note
In Which Industries Or Sectors Is Video Annotation Mainly Used?
- Physician
- Transport
- Geospatial Architecture and Applications
- Traffic regulation
- Manufacturing
- Retail trade
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