Unlike labeling static images, video annotation is more complex and time-consuming. Annotators must examine video frames, consistently label objects as they move or change across frames, and account for all interactions and motion. Even with automated video annotation tools, data accuracy isn't guaranteed. In many cases, video annotation requires 3D annotations, depth estimation, or a deeper understanding of context, which AI tools can struggle with.
We provide a smarter way to overstep these video annotation challenges: human-supervised, AI-assisted video annotation services.
Get high-quality video training datasets within the predetermined timeline, regardless of project complexity or data volume. Get labeling support for 4K and live-streaming videos or annotation for long-running footage with the assurance of frame-by-frame consistency, precise object tracking, and accurate motion analysis. With our human-in-the-loop approach to video data annotation, you can power your AI/ML projects and data operations with confidence.
Our team of over 120 annotators can work with the video labeling tool you prefer and adapt to your in-house tool if needed. Additionally, you can send us data in any format, including JPEG, PNG, BMP, point clouds, 3D meshes, and voxel grids. We will ensure that outputs are generated in the custom formats you prefer.
2D Bounding Box Annotation
Polygon & Polyline Annotation
Keypoint/Landmark Annotation
Event Classification
Lines and Splines Annotation
Event Tracking
3D Cuboid Annotation
Skeleton Annotation
Semantic Segmentation
Oriented Bounding Boxes Annotation
Instance Segmentation
3D Point Cloud Annotation
In-Cabin MonitoringAdvanced driver assistance systems (ADAS) are a trending vehicular feature that streamlines road safety. The camera captures footage of in-cabin movements like eyelid movements, head position, activities of drivers & passengers, etc. Through video data annotation of these key points, our team identifies crucial markers that impact the quality of driving, like signs of fatigue in the driver or emotions of vehicle occupants. This eventually contributes to the training of machine learning models for in-cabin monitoring and equips such AI systems to respond intelligently to occupant behavior.
Security AI modelsThe automation of threat and theft detection is the most significant application of AI/ML in the security industry. A security AI solution can be trained to interpret movement, analyze behavior, detect objects, and categorize them as normal, threatening, or suspicious. We enable AI security systems with that functional capability through video data annotation of surveillance footage to identify and track movement and label them across the determined spectrum of human behaviors. Trained using this dataset, an AI model can detect unauthorized access or unusual limb postures, enabling real-time threat detection and response.
Retail AssistantsAI-powered surveillance cameras can detect theft or fraud. In-store traffic analyzing AI can provide insights into customer sentiment and product performance, predict peak shopping times, enable better staffing decisions, lead to smarter product recommendations, and help offer a truly omnichannel shopping experience to consumers. We help train such AI-powered retail assistants by annotating video feeds from store cameras.
AI for Medical DiagnosisWe employ subject matter experts to annotate medical videos, such as endoscopy or surgery footage, to identify and label anatomical structures, anomalies, or procedural steps. The resultant video datasets help train AI models for automated diagnosis, surgical assistance, and improving patient outcomes.
Live-Stream Video AnnotationLabeling video data as it is being streamed has significant applications in AI models that need to operate in dynamic environments where real-time analysis and decision-making are critical. For instance, monitoring patient vitals during surgery or event monitoring for sports analytics. Our video annotation services aid training for such AI models with immediate, context-aware labeling while ensuring high accuracy.
Autonomous DrivingOur video annotation service for autonomous driving applications ensures that AI models can accurately recognize and respond to various road elements, such as vehicles, pedestrians, traffic signs, and lane markings. By labeling live and recorded video feeds, we enable the algorithms behind autonomous vehicles to navigate safely, improving decision-making processes and reducing the risk of accidents in real-world driving conditions.
Traffic and Transportation ManagementVideo data annotation for traffic management AI solutions or transportation related AI solutions involve labeling elements such as vehicle counts, traffic flow, congestion patterns, traffic violations, and pedestrian movements. This can be on real-time traffic camera or sensor data as well as on recorded feeds. The final training dataset enables real-time traffic optimization, smarter infrastructure planning, and efficient public transportation management, leading to reduced congestion, improved safety, and better urban mobility solutions.
AI-Driven Content Recommendation SystemsBy labeling scenes, objects, facial expressions, emotions, dialogue, genres, and visual aesthetics, we help train AI-driven content recommendation systems across platforms like streaming services, social media, and e-learning. This results in more personalized and accurate recommendations, such as matching videos to a viewer’s mood or preferred genre, ultimately improving the user experience.
Environmental Monitoring SystemsWe provide video annotation services for environmental monitoring by processing footage from drones, satellites, and fixed cameras. These annotations support key applications like tracking endangered species in wildlife reserves, monitoring crop conditions and predicting yields in agriculture, detecting water contamination, and observing climate shifts, enabling AI systems to make informed, real-time environmental decisions.
With the rising instances of data breaches costing organizations millions on average worldwide, information security is always a concern. So, when you choose to outsource video annotation services, the doubt around "Will my data be safe?" must be at the forefront of your worries.
Data security and compliance are the two biggest strengths that SunTec Data brings to the table. The company is certified with ISO/IEC 27001:2022 for information security management and with ISO 9001:2015 for quality management. From adhering to data compliance regulations such as HIPAA, DORA, GDPR, CCPA, SOX, and PCI to being a CMMI Maturity Level 3 company, all our accreditations and certifications have the same purpose: to prevent unauthorized access to customers' and users' sensitive information.
This was the first video labeling company we found that was able to handle our enormous labeling taxonomy while speeding up the annotation process. Communication was also quite smooth.
I can confidently say SunTec is one of the best video annotation companies around. They produced many rich datasets, labeled so well regardless of the data complexity.
They have remained the best way for us to scale data labeling through the last 5 years. What we especially appreciate is how they drive impact through a human-in-the-loop approach.
Deploy AI solutions confidently with video annotation support from a premier AI training data specialist company. Our video annotation outsourcing services give you the confidence to accurately implement AI in your operations with assured data security.
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