Revive Cloud

Video Annotation

Power Your AI Models with Expert Video Annotation Services

Video data is the primary source for sophisticated AI solutions such as autonomous vehicles, security surveillance, and gesture recognition. The ReviveCloud provides quality video annotation services that establish training for machine learning and computer vision model accuracy.

Our focus is on frame-by-frame tracking, behavior recognition, and motion-based labels. We can provide video annotation services to different industries using different use-case examples, from multi-object tracking to lane detection.

Video Annotation Capabilities:

From object motion to human action recognition, we cover diverse applications with specialized video labeling services.

Our Video Annotation Workflow

The video annotation process is built for accuracy, scalability, and security, allowing for your models to be trained on the best data available.

1. Project Understanding & Scope

We understand your AI use case - autonomous driving, surveillance, sports analytics, etc. - and create a customized annotation plan.

2. Frame Sampling & Tool Configuration

We sample the necessary frames from your video clips, configure the annotation tool (CVAT, VOTT, Labelbox, etc.), and confirm we understand your labeling setup.

3. Frame-by-Frame Annotation

Our trained annotators will annotate the moving objects and actions frame by frame, making certain that tracking across the video is consistent.

4. Quality Control at Multiple Levels

Each video annotation has undergone multiple layers of quality control to weed out any drift, inconsistency, errors, or object ID switching.

Get Accurate Video Annotation Specific to Your AI Model

Searching for trustworthy video annotation services in India or worldwide? ReviveCloud’s video annotation services are accurate, scalable, and affordable video labeling services that improve your AI models.