Computer Vision Annotation
Bounding boxes, polygons, semantic and instance segmentation, keypoints, classification and video tracking.
Velsept AI supports AI and machine learning teams with structured data annotation, human evaluation, content operations and quality-focused data workflows.

Flexible human-in-the-loop services designed around project guidelines, annotation requirements and quality targets.
Bounding boxes, polygons, semantic and instance segmentation, keypoints, classification and video tracking.
Response evaluation, preference ranking, prompt-response comparison and instruction-following review.
Policy-guided review and categorization of text, image and video content based on client-defined standards.
Text labeling, NER, transcription, audio annotation, OCR regions and document-layout annotation.
Dataset organization, cleaning, filtering, deduplication, categorization and metadata preparation.
Annotation validation, consistency review, guideline compliance and structured dataset quality checks.
Capabilities can be scoped around your data modality, labeling ontology, workflow and quality requirements.
Detection, segmentation, classification, tracking and visual metadata.
Language annotation, AI output evaluation, ranking and relevance.
Transcription, sound events, OCR, forms, tables and layouts.
Validation, moderation, guideline compliance and quality control.
Each project is presented as a representative portfolio example. Click any project to open the complete professional case-study portfolio PDF.

Representative annotation work in visually dense warehouse and production environments, demonstrating separation of workers, inventory, stacked goods, machinery and material-handling equipme...
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Representative agricultural annotation work covering dense crop regions, irregular vegetation boundaries and human activity in field or greenhouse environments. The examples demonstrate fore...
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Representative annotation work focused on people operating in active construction environments. The samples include complex body poses, elevated work areas, structural occlusion and safety-r...
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Representative object-detection annotation across busy urban road scenes containing pedestrians, passenger vehicles, buses and other traffic participants at different scales....
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Representative vehicle-detection annotation spanning highway, road and elevated traffic viewpoints, with changing object scale, perspective, lighting and traffic density....
View Case Study PDF →A visual stream of additional annotated samples from our portfolio archives.
Tooling can be aligned with project requirements and client-provided environments.
Image & video annotation
Multi-modal labeling
Vision datasets
Vision workflows
Bounding boxes
Image & video
Velsept AI is the AI data services brand of Velsept Technologies Private Limited, focused on structured human intelligence workflows for machine learning and AI teams.
Our approach emphasizes clear guidelines, careful execution, transparent communication and quality control. Portfolio projects shown on this website are representative examples of demonstrated annotation work.
Tell us about your dataset, annotation requirements and quality goals.