Video annotation is the process of labeling and tagging objects, actions, or events in video frames to create datasets for training machine learning models. It involves drawing bounding boxes, polygons, or key points around objects and associating them with specific labels, such as "car" or "pedestrian." Video annotation is critical for tasks like object detection, action recognition, and scene understanding. Tools like Labelbox, V7, and CVAT facilitate the annotation process by providing user-friendly interfaces and support for tracking objects across frames. Annotated videos are essential for training and validating AI models in fields such as autonomous driving, surveillance, and sports analytics.
What is video annotation?
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Retrieval Augmented Generation (RAG) 101
- Vector Database 101: Everything You Need to Know
- Optimizing Your RAG Applications: Strategies and Methods
- Master Video AI
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What is fine-tuning in LLMs?
Fine-tuning is the process of adapting a pre-trained LLM to perform a specific task or operate in a particular domain. T
What does it mean ' dense feature extraction'?
Dense feature extraction refers to the process of extracting features from an image or a signal at every possible locati
How do AI drones operate in warehouse environments?
AI drones in warehouses operate by using computer vision and AI algorithms for navigation, inventory management, and ins