Annotate videos faster with AI-assisted video annotation.
Get frame-by-frame precision, video object tracking, and segmentation to build production ready models.
TALK TO OUR EXPERTS
High quality video annotation with purpose built features
Made to handle long clips, crowded scenes, and tight QA. Get fast frame edits, dependable tracking and masks, plus the review tools and integrations that keep datasets consistent and ready to train.
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Multi-object tracking
Track multiple targets across long clips. Use auto-track to reduce clicks; re-assign quickly to handle overlaps and occlusions. Maintain stable identities when objects cross, turn, reappear, or leave the frame. Building on robust tracking, the next step focuses on precise object segmentation.
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Semantic segmentation
Create a clean instance and semantic masks. Use brush and eraser with smart selection to speed edge work. Copy across frames and nudge pixels to maintain consistent boundaries, even in thin areas and during fast motion. To further enhance accuracy, frame-by-frame adjustments are available.
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Frame-by-frame precision
Set keyframes, interpolate between them, and adjust tricky frames quickly. Snap, scrub, and use keyboard shortcuts for accuracy in fast scenes without fighting the timeline or playback. Alongside temporal annotations, seamlessly add event and attribute details.
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Timeline events & attributes
Mark actions and state changes at the right moment. Add attributes, durations, and relationships to a simple timeline to ensure temporal labels accurately reflect what happened. An integrated model-assisted labeling approach streamlines manual tasks.
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Model-assisted labeling
Begin with pre-labels and auto-propagate shapes between keyframes, then correct only those that need it. Stay in control while assistive AI reduces repetitive edits and overall touch time. For added reliability, built-in QA and reviews ensure consistency.
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Built-in QA & reviews
Queue reviews, run consensus checks, and see full history for every annotation. Calibrate guidelines, flag edge cases, and track quality to ensure large projects remain consistent and high-quality, even with new footage and annotators. This keeps project results dependable.
Video annotation use cases for different industries
Representative enterprise workflows where high-quality video labels drive reliable models at scale.
Autonomous driving
Track vehicles and pedestrians across extended sequences; segment roads and lanes; and tag manoeuvres with frame-accurate timelines to support perception and planning across routes, varying weather conditions, and multi-sensor camera rigs.
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Smart cities
Track classes through intersections to measure flow and congestion, segment lanes and zones, and tag incidents. Build datasets for signal timing, incident response planning, and before-and-after analyses across districts.
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Retail analytics
Label footfall, dwell time, queue states, and product interactions from CCTV footage with consistent timestamps. Enable layout and placement testing, and generate comparable ground truth for merchandising and operations teams to facilitate informed decision-making.
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Sports analysis
Track players and ball continuously; segment fields and lines; tag actions, phases, and outcomes. Use structured labels to support analysis, automated highlights, performance benchmarking, and rights workflows with verifiable on-screen evidence.
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Medical AI
Annotate instruments, anatomy, and procedural phases with audit-ready timelines and reviewer trails. Ensure consistent labels to support phase recognition, guidance research, and validation where evidence, attribution, and data handling must be explicit.
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Quality inspection
Detect and segment defects on high-speed lines; align annotations to machine states and changeovers; standardize labels across shifts and SKUs to support root-cause analysis, SPC charts, and preventive maintenance.
Aerial inspection
Track assets in drone footage; segment structures and surfaces; tag defect types and severities. Use comparable labels to schedule inspections, prioritize follow-ups, and document remediation with evidence for regulators.
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Warehouse robotics
Maintain identity on pallets, totes, and vehicles through occlusions; label pick, place, handoff, and safety events. Enable stable tracking to support navigation models, analytics, and throughput studies using floor conditions and timelines.
Autonomous driving
Track vehicles and pedestrians across extended sequences; segment roads and lanes; and tag manoeuvres with frame-accurate timelines to support perception and planning across routes, varying weather conditions, and multi-sensor camera rigs.
Smart cities
Track classes through intersections to measure flow and congestion, segment lanes and zones, and tag incidents. Build datasets for signal timing, incident response planning, and before-and-after analyses across districts.
Retail analytics
Label footfall, dwell time, queue states, and product interactions from CCTV footage with consistent timestamps. Enable layout and placement testing, and generate comparable ground truth for merchandising and operations teams to facilitate informed decision-making.
Sports analysis
Track players and ball continuously; segment fields and lines; tag actions, phases, and outcomes. Use structured labels to support analysis, automated highlights, performance benchmarking, and rights workflows with verifiable on-screen evidence.
Medical AI
Annotate instruments, anatomy, and procedural phases with audit-ready timelines and reviewer trails. Ensure consistent labels to support phase recognition, guidance research, and validation where evidence, attribution, and data handling must be explicit.
Quality inspection
Detect and segment defects on high-speed lines; align annotations to machine states and changeovers; standardize labels across shifts and SKUs to support root-cause analysis, SPC charts, and preventive maintenance.
Aerial inspection
Track assets in drone footage; segment structures and surfaces; tag defect types and severities. Use comparable labels to schedule inspections, prioritize follow-ups, and document remediation with evidence for regulators.
Warehouse robotics
Maintain identity on pallets, totes, and vehicles through occlusions; label pick, place, handoff, and safety events. Enable stable tracking to support navigation models, analytics, and throughput studies using floor conditions and timelines.
Autonomous driving
Track vehicles and pedestrians across extended sequences; segment roads and lanes; and tag manoeuvres with frame-accurate timelines to support perception and planning across routes, varying weather conditions, and multi-sensor camera rigs.
Smart cities
Track classes through intersections to measure flow and congestion, segment lanes and zones, and tag incidents. Build datasets for signal timing, incident response planning, and before-and-after analyses across districts.
Retail analytics
Label footfall, dwell time, queue states, and product interactions from CCTV footage with consistent timestamps. Enable layout and placement testing, and generate comparable ground truth for merchandising and operations teams to facilitate informed decision-making.
Sports analysis
Track players and ball continuously; segment fields and lines; tag actions, phases, and outcomes. Use structured labels to support analysis, automated highlights, performance benchmarking, and rights workflows with verifiable on-screen evidence.
Medical AI
Annotate instruments, anatomy, and procedural phases with audit-ready timelines and reviewer trails. Ensure consistent labels to support phase recognition, guidance research, and validation where evidence, attribution, and data handling must be explicit.
Quality inspection
Detect and segment defects on high-speed lines; align annotations to machine states and changeovers; standardize labels across shifts and SKUs to support root-cause analysis, SPC charts, and preventive maintenance.
Aerial inspection
Track assets in drone footage; segment structures and surfaces; tag defect types and severities. Use comparable labels to schedule inspections, prioritize follow-ups, and document remediation with evidence for regulators.
Warehouse robotics
Maintain identity on pallets, totes, and vehicles through occlusions; label pick, place, handoff, and safety events. Enable stable tracking to support navigation models, analytics, and throughput studies using floor conditions and timelines.
Autonomous driving
Track vehicles and pedestrians across extended sequences; segment roads and lanes; and tag manoeuvres with frame-accurate timelines to support perception and planning across routes, varying weather conditions, and multi-sensor camera rigs.
Smart cities
Track classes through intersections to measure flow and congestion, segment lanes and zones, and tag incidents. Build datasets for signal timing, incident response planning, and before-and-after analyses across districts.
Retail analytics
Label footfall, dwell time, queue states, and product interactions from CCTV footage with consistent timestamps. Enable layout and placement testing, and generate comparable ground truth for merchandising and operations teams to facilitate informed decision-making.
Sports analysis
Track players and ball continuously; segment fields and lines; tag actions, phases, and outcomes. Use structured labels to support analysis, automated highlights, performance benchmarking, and rights workflows with verifiable on-screen evidence.
Medical AI
Annotate instruments, anatomy, and procedural phases with audit-ready timelines and reviewer trails. Ensure consistent labels to support phase recognition, guidance research, and validation where evidence, attribution, and data handling must be explicit.
Quality inspection
Detect and segment defects on high-speed lines; align annotations to machine states and changeovers; standardize labels across shifts and SKUs to support root-cause analysis, SPC charts, and preventive maintenance.
Aerial inspection
Track assets in drone footage; segment structures and surfaces; tag defect types and severities. Use comparable labels to schedule inspections, prioritize follow-ups, and document remediation with evidence for regulators.
Warehouse robotics
Maintain identity on pallets, totes, and vehicles through occlusions; label pick, place, handoff, and safety events. Enable stable tracking to support navigation models, analytics, and throughput studies using floor conditions and timelines.
Video annotation workflow for millions of frames
Standardize intake, assistive labeling, reviews, and exports to ensure large datasets remain searchable, auditable, and ready for model training.
Dataset ingest & curation
Bulk-import videos, compute quality metrics, and surface high-signal frames to quickly identify valuable data. Filter by attributes and embeddings to create balanced subsets, allowing annotators to begin with representative footage and saving time while reducing bias.
Assisted labeling & tracking
Annotate frame by frame with boxes, polygons, and masks. Use auto-track and interpolation to maintain identities over long sequences, speeding up annotation and improving consistency while retaining human control for corrections, edge cases, and class attributes.
Collaboration & QA
Route tasks with clear roles, attach detailed instructions, and review with comments and consensus to ensure high-quality, consistent results. Track item and project status, audit changes, and calibrate on challenging examples to maintain consistent guidelines and accelerate onboarding.
Export, lineage & integration
Export in common formats and push to storage, SDKs, or APIs. Preserve ontology, timestamps, and version history to simplify experiments, comparisons, and retraining, saving time by eliminating manual rework.
Dataset ingest & curation
Bulk-import videos, compute quality metrics, and surface high-signal frames to quickly identify valuable data. Filter by attributes and embeddings to create balanced subsets, allowing annotators to begin with representative footage and saving time while reducing bias.
Assisted labeling & tracking
Annotate frame by frame with boxes, polygons, and masks. Use auto-track and interpolation to maintain identities over long sequences, speeding up annotation and improving consistency while retaining human control for corrections, edge cases, and class attributes.
Collaboration & QA
Route tasks with clear roles, attach detailed instructions, and review with comments and consensus to ensure high-quality, consistent results. Track item and project status, audit changes, and calibrate on challenging examples to maintain consistent guidelines and accelerate onboarding.
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Export, lineage & integration
Export in common formats and push to storage, SDKs, or APIs. Preserve ontology, timestamps, and version history to simplify experiments, comparisons, and retraining, saving time by eliminating manual rework.
Video annotation Security and compliance
Controls for identity, data movement, and auditability—built to meet enterprise policies without slowing video annotation projects.
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Certifications & governance
GDPR-aligned controls, SOC 2 practices, and HIPAA-ready handling. DPAs/BAAs on request, documented subprocessors, breach notification, and immutable activity history to support risk reviews and internal audits.
Access, encryption & audit
SSO/SAML with SCIM, least-privilege roles, IP allowlists, and session policies. TLS in transit, AES-256 at rest, optional customer-managed keys, and end-to-end audit logs for labeling, reviews, and exports.
Data residency & deployment
Choose storage/processing region, enforce retention, and restrict exports. Private networking (VPC peering/VPN), single-tenant or on-prem options, and environment isolation for dev, staging, and production.
Certifications & governance
GDPR-aligned controls, SOC 2 practices, and HIPAA-ready handling. DPAs/BAAs on request, documented subprocessors, breach notification, and immutable activity history to support risk reviews and internal audits.
Access, encryption & audit
SSO/SAML with SCIM, least-privilege roles, IP allowlists, and session policies. TLS in transit, AES-256 at rest, optional customer-managed keys, and end-to-end audit logs for labeling, reviews, and exports.
Data residency & deployment
Choose storage/processing region, enforce retention, and restrict exports. Private networking (VPC peering/VPN), single-tenant or on-prem options, and environment isolation for dev, staging, and production.
Why trust Taskmonk for video annotation projects.
Built for large, long-running video projects—combining scale, steady quality, and strict controls—so datasets stay traceable, secure, and training-ready without adding operational risk.
Proven at scale
Manage millions of frames and long sequences without slowdown. Keep projects organized with reliable search and routing. Track status so multi-team workloads stay traceable across sprints and releases.
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Consistent quality
Run reviews with consensus checks, calibration sets, and audit history to ensure accuracy. Catch edge cases early. Prevent guideline drift. Report quality consistently each week for stakeholders.
Enterprise controls
SSO/SAML, role-based access, and encryption in transit and at rest. Set regional residency. Enforce retention, restrict exports, and use private networking. Meet internal policies and external obligations.
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Open integrations
Import or export standard formats. Connect SDKs and APIs to storage and training. Preserve ontology, timestamps, and lineage. Experiments, comparisons, and retraining never require manual rework.
Proven at scale
Manage millions of frames and long sequences without slowdown. Keep projects organized with reliable search and routing. Track status so multi-team workloads stay traceable across sprints and releases.
Consistent quality
Run reviews with consensus checks, calibration sets, and audit history to ensure accuracy. Catch edge cases early. Prevent guideline drift. Report quality consistently each week for stakeholders.
Enterprise controls
SSO/SAML, role-based access, and encryption in transit and at rest. Set regional residency. Enforce retention, restrict exports, and use private networking. Meet internal policies and external obligations.
Open integrations
Import or export standard formats. Connect SDKs and APIs to storage and training. Preserve ontology, timestamps, and lineage. Experiments, comparisons, and retraining never require manual rework.
Video annotation and expert execution services with the Taskmonk platform
Our selectively trained workforce and Taskmonk's advanced QA tools let you scale video annotation with speed and accuracy unmatched by fragmented solutions.
TALK TO OUR EXPERTS
End-to-end project management
Taskmonk offers a streamlined, full-lifecycle solution: from precise scoping to detailed delivery, you always interact through one dedicated expert contact.
Video annotation expertise
Taskmonk offers a streamlined, full-lifecycle solution: from precise scoping to detailed delivery, you always interact through one dedicated expert contact.
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Secure, scalable, cost-predictable
We deliver projects of any size with transparent pricing, SSO access, region pinning, and retention controls. Our reports include quality metrics, throughput, and rework, allowing you to plan confidently.
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Proof of concept
Share your sample dataset, SOPs, and goals. We will set up a workflow, assign annotators, and return labeled samples with a QA snapshot within 24 to 48 hours.
End-to-end project management
Taskmonk offers a streamlined, full-lifecycle solution: from precise scoping to detailed delivery, you always interact through one dedicated expert contact.
Video annotation expertise
Taskmonk offers a streamlined, full-lifecycle solution: from precise scoping to detailed delivery, you always interact through one dedicated expert contact.
Secure, scalable, cost-predictable
We deliver projects of any size with transparent pricing, SSO access, region pinning, and retention controls. Our reports include quality metrics, throughput, and rework, allowing you to plan confidently.
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Proof of concept
Share your sample dataset, SOPs, and goals. We will set up a workflow, assign annotators, and return labeled samples with a QA snapshot within 24 to 48 hours.
FAQ
What video annotation types does the tool support?
Bounding boxes, polygons, polylines, keypoints, and pixel-accurate semantic/instance masks. Frame-by-frame keyframes with interpolation, multi-object tracking, temporal events, attributes, and hierarchical ontologies are built in.
What makes Taskmonk’s video annotation tool different?
Stable tracking and frame control, audit-ready QA, and open SDK/APIs—plus optional managed labeling on the same platform. You receive a governed workflow, from intake to export, with clear quality and lineage.
Which video annotation tools are available in the Taskmonk platform?
A timeline editor for keyframes/events, drawing tools for boxes/polygons/masks, auto-track and re-ID aids, class/attribute managers, review queues with comments/consensus, and search/filters for routing work.
Does Taskmonk offer AI-powered video annotation?
Yes—assistive features include auto-track, smart interpolation, pre-labels, and mask propagation with human override. You can also connect your own models via SDK to precompute predictions and accelerate edits.
How is label quality maintained at scale?
Calibrated guidelines, gold tasks, consensus checks, and targeted audits. We track IoU/precision, error taxonomies, and drift, then feed learnings back into instructions and reviewer training.
How does Taskmonk integrate with our ML stack?
Import common video formats; export JSON/COCO/YOLO/CSV or custom schemas. Push data via SDKs/APIs to S3, GCS, or Azure. Lineage preserves ontology, timestamps, and version history for reliable retraining.
Curate, label, and review millions of frames in one clear workflow. Taskmonk speeds each step from intake to training and deployment.
