Video models need more than labeled images. They need objects tracked consistently from frame to frame, actions marked with accurate start and end times, and events described the same way across thousands of clips. A box that drifts, an ID that switches between two people, or an event tagged a second late all teach the model the wrong thing.
Our video annotation services deliver frame-accurate, consistent labels for video AI. We agree guidelines with you, annotate a sample clip set for your review, and scale with interpolation, model assistance, and multi-step review — delivered in the format your training pipeline uses.
What are video annotation services? Video annotation services label objects, actions, and events in video so AI models can learn to detect, track, and understand what happens over time. Common tasks include object detection and tracking with persistent IDs, bounding boxes and polygons across frames, action and activity recognition, event tagging with timestamps, temporal segmentation, and keypoint tracking. Providers use interpolation and review to keep labels consistent across frames.
Video Annotation at a Glance
Question | Answer |
|---|---|
What it is | Labeling objects, actions, and events across video frames for AI training and evaluation |
Annotation types | Object tracking, bounding boxes and polygons per frame, action recognition, event tagging, temporal segmentation, keypoint tracking |
Techniques | Keyframe annotation with interpolation, model-assisted pre-labeling, human review |
Output formats | COCO-style JSON, MOT format, CSV with timestamps, or your custom schema |
Tools | CVAT, Label Studio, or your existing platform |
How to start | A sample set of clips, reviewed by you before scaling |
Video Annotation Types
Type | What annotators do | Typical use |
|---|---|---|
Object tracking | Follow each object across frames with a persistent ID | People and vehicle tracking, sports analysis |
Frame-level boxes or polygons | Outline objects in each frame | Detection models trained on video |
Action recognition | Label what a person or object is doing | Activity monitoring, workplace safety |
Event tagging | Mark when specific events start and end | Incident detection, highlights, compliance |
Temporal segmentation | Split video into labeled segments | Process steps, scene changes |
Keypoint tracking | Track body or object points over time | Pose estimation, movement analysis |
Common Use Cases
Retail analytics — customer movement, queue length, and shelf interactions
Workplace safety — protective equipment, unsafe actions, and restricted zones
Traffic and transport — vehicle and pedestrian tracking and counting
Sports and fitness — player tracking, movements, and key moments
Manufacturing — process steps, assembly actions, and anomalies
Media — scene, highlight, and content tagging
Our Video Annotation Services
Guideline development
We define object classes, ID rules, action and event definitions, timing precision, and handling of occlusion and objects leaving the frame.
Object tracking
Annotators label objects on keyframes, use interpolation between them, and correct drift so tracks stay accurate and IDs stay consistent.
Action and event labeling
We mark actions and events with start and end times to the precision your model needs.
Model-assisted annotation
We pre-label with detection and tracking models and have annotators correct results, reducing effort on long videos.
Quality review
Tracks and events are reviewed for drift, ID switches, missed objects, and timing errors, with senior review for hard sequences.
Frame sampling and dataset preparation
We help choose which frames and clips to label, split datasets, and export in your required format.
How It Works
Step 1: Share clips and requirements
Send sample clips, object classes, and the actions or events to label.
Step 2: Agree guidelines
We draft guidelines with examples and agree them with you.
Step 3: Sample set
We annotate a sample set for your review.
Step 4: Scale
Once approved, we scale up with batch deliveries and quality reports.
Step 5: Iterate
We refine guidelines and focus on sequences your model handles poorly.
Engagement Models
Model | How it works | Best when |
|---|---|---|
Sample set | A few annotated clips | You're evaluating quality and fit |
Project-based | Priced per minute of video, per frame, or per hour | You have a defined dataset |
Ongoing annotation team | A dedicated team labeling new footage | Your model needs regular new data |
Data Security
NDA before footage is shared
Faces and sensitive details blurred where required before annotation
Work in your environment when required
No reuse of your footage
Why Work With Codersarts
Video annotation needs careful process: consistent IDs, accurate timing, and efficient use of interpolation and models. Our computer vision team understands how tracking and action models are trained, so guidelines are designed for the model you're building. You see quality on a sample set before committing.
Frequently Asked Questions
What is video annotation?
Video annotation is labeling objects, actions, and events in video — across frames and over time — so AI models can learn to detect, track, and understand activity.
How is video annotation different from image annotation?
Video annotation adds time: objects must keep consistent IDs across frames, and actions and events need start and end times. See image annotation for single-image labeling.
Do you label every frame?
Usually not. We label keyframes and use interpolation and model assistance between them, then review and correct. The approach depends on motion and accuracy needs.
How much do video annotation services cost?
Pricing depends on video length, frame rate, objects per frame, annotation type, and volume. We quote per minute, per frame, or per hour after reviewing samples.
How do you prevent ID switches in tracking?
Through clear ID rules, keyframe review, interpolation checks, and a dedicated review pass focused on track continuity.
Can you protect privacy in footage?
Yes. We can blur faces, license plates, or other sensitive details before annotation and work under an NDA.
What formats do you deliver?
COCO-style JSON, MOT format for tracking, CSV with timestamps, or your custom schema.
Related Data Services
Data Labeling — labeling across all data types
Audio Annotation — labeling the audio track of your video
Machine Learning — train models on annotated video
AI Data Services — data preparation for AI projects
Ready for Frame-Accurate Video Labels?
Send us sample clips and tell us what needs to be tracked or tagged. We'll annotate a sample set so you can judge the quality yourself.
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