Yes, videos can be annotated using machine learning, which can significantly speed up the process compared to manual annotation. ML-based tools utilize models trained to identify and label objects, actions, or regions of interest in video frames automatically.
For example, tools like Label Studio and VGG Image Annotator provide semi-automatic annotation workflows where models predict annotations that humans can refine. Pre-trained models such as YOLO or Mask R-CNN are often used for detecting and labeling objects in videos.
Additionally, temporal consistency in video frames can be exploited to improve annotation accuracy, where predictions from one frame influence annotations in subsequent frames, reducing redundancy and increasing efficiency.