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Sundaram S.

Sundaram S.

Image and Video Annotator (target role) focused on temporal consistency, tracking, and visual QA

India flagEtawah, India

Key Skills

Software

No software listed

Top Subject Matter

AI-generated video annotation
temporal consistency QA
AI-generated image/video labeling

Top Data Types

VideoVideo
ImageImage

Top Task Types

TrackingTracking
SegmentationSegmentation

Freelancer Overview

Image and Video Annotator (target role) focused on temporal consistency, tracking, and visual QA. AI-training focus includes data types such as Video and Image and labeling workflows including Tracking and Segmentation.

Labeling Experience

Prospective annotation work in image and video tagging (bounding boxes, segmentation, keypoints) with QA

ImageImageSegmentationSegmentation

You annotate images using semantic segmentation and related visual tagging to produce consistent labeled outputs. You focus on capturing visual patterns and maintaining recurring character features to support reliable video/image generation workflows. You validate label quality by checking for inconsistencies and errors prior to dataset finalization. • Semantic segmentation for detailed region-level labeling • Bounding box-style tagging and key point annotation (where applicable) • Visual pattern identification for consistent labels • QA checks for labeling errors and distortions

Present

Image and Video Annotator (target role) focused on temporal consistency, tracking, and visual QA

VideoVideoTrackingTracking

You perform frame-by-frame visual annotation tasks to maintain temporal continuity of specific visual attributes across multiple video frames. You apply rigorous quality assurance by identifying artifacts, distortions, and labeling errors in AI-generated media. You ensure high-fidelity dataset organization for downstream machine learning model training. • Temporal tracking of recurring visual attributes for continuity • Quality assurance to detect artifacts and labeling mistakes • Maintaining structured workflows for consistent annotation outputs • Supporting large-scale dataset organization for model performance

Present

Education

B

B.Sc.

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

data annotation and leveling

Location not specified
Not specified