Video annotation to label the moving objects in the video recording to make it recognizable to computer vision based machine learning algorithms. Self-driving cars or autonomous vehicles needs such highly labeled videos with right metadata helping such machines to detect the physical object through various sensors and move safely.
Applications of Video Annotations:
- Machine Learning
- Computer Vision
- Self-driving Cars
- Mapping & Satellites
- Robotics & Drones
- Healthcare & Medicine
- Agriculture Technology
Cogito provides, the video annotation service for machine learning algorithm training to develop the autonomous cars with best level of accuracy. The video annotation at Cogito make the each object recognizable to computer vision and help the algorithm learn from such patterns and utilize such feed data in real-life use.
Advantages of Video Annotation with Cogito:
- Data Collection and Classification Service
- High-quality Data Sets for Machine Learning
- Timely Delivery of Projects of Annotated Images
- Use of Advance Tools for Precise Annotations
- Scalable Solution for High-volume Data Needs
- Cost-effective and Flexible Pricing Model
- Highly-trained Annotators and Skilled Team
Also Read: How to Get Best Video Annotation Tools & Service?
From bounding box to video semantic segmentation annotation, Cogito offers a high-grade labeled data to make the models work properly with right accuracy. The video annotation by Cogito available for human pose detection and other activities. Working with full-range of work force to annotate the varied formats of videos with proper added meta data as per the customize needs and availability of the customers.