AI and ML Network Services
Video Annotation Services
Professional video annotation services including object tracking, frame-by-frame labeling, action tagging, and video segmentation for autonomous driving, surveillance, and AI training datasets.
AI and ML Network provides production-grade video annotation services for computer vision teams building object tracking, action recognition, autonomous driving, and surveillance AI systems.
Video Annotation Types We Deliver
Object Tracking
Multi-object tracking annotation with consistent ID assignment across frames. We use keyframe interpolation to efficiently label moving objects while maintaining tracking accuracy and ID continuity.
Frame-by-Frame Annotation
Detailed per-frame bounding box, polygon, or segmentation annotation when interpolation is insufficient. Used for complex motion, rapid occlusion changes, and high-precision tracking requirements.
Action Tagging
Temporal event labeling that marks when specific actions or events occur in video sequences. Used for activity recognition, behavior analysis, and sports analytics AI.
Video Segmentation
Pixel-level segmentation masks applied to video frames for scene understanding, autonomous driving perception, and medical video analysis.
Why Video Annotation Is Different
Video annotation requires capabilities that image annotation doesn’t:
- Temporal consistency — object IDs must persist across frames without breaks or swaps
- Interpolation expertise — keyframe annotation plus interpolation review requires understanding of motion patterns
- Scale management — a 10-minute video at 30fps contains 18,000 frames, requiring efficient workflows
- Occlusion handling — objects appear, disappear behind other objects, and reappear with the same identity
Our team handles all of these challenges daily across autonomous driving, surveillance, and robotics projects.
Our Process
- Video intake — We review your footage, frame rate, resolution, and annotation requirements
- Keyframe strategy — We define optimal keyframe intervals based on object motion complexity
- Annotation — Expert annotators label keyframes, review interpolation, and handle edge cases
- QA validation — Frame-level quality checks, ID continuity verification, and tracking consistency audits
- Delivery — Export in your required format with frame-level validation reports
If you need video annotation for your AI project, go to the Start Project page and send your requirements.
Frequently Asked Questions
What types of video annotation does AI and ML Network provide? +
We provide object tracking with ID continuity across frames, frame-by-frame bounding box and polygon annotation, action tagging and event labeling, video segmentation, and keyframe interpolation for efficient large-scale video annotation.
Which tools do you use for video annotation? +
We primarily use CVAT for video annotation due to its superior keyframe interpolation, object tracking, and frame-by-frame annotation capabilities. We also work in Label Studio, Roboflow, and Supervisely depending on your project requirements.
How do you maintain object tracking consistency across video frames? +
We use CVAT's tracking tools to maintain consistent object IDs across frames. Our QA process includes frame-level quality checks, ID continuity verification, and interpolation validation to ensure tracking consistency throughout the video.
What video formats and export formats do you support? +
We work with all standard video formats including MP4, AVI, and MOV. We export annotations in COCO JSON, YOLO, MOT format, Pascal VOC, and custom schemas depending on your training pipeline requirements.
Ready to Start?
Get a free sample batch to test our quality before committing.