Frame-accurate video annotation for computer vision teams, from object tracking to event labeling, with human-in-the-loop QA.
Video annotation is the process of labeling objects, actions and events across the frames of a video so computer vision models can learn to detect, track and understand movement over time. The hardest part is consistency. Labels must stay the same from the first frame to the last, even when objects move, overlap or disappear.
HitechDigital’s video annotation services address this with frame-accurate labeling, written guidelines and human-in-the-loop review. We provide video labeling for computer vision projects, including frame-by-frame labeling, object tracking, video classification, event-based timestamp labeling, instance segmentation, optical flow annotation, live stream monitoring and video moderation. Deliverables include labeled object segments, contextual and scene descriptions and tracking IDs, in the format your pipeline needs.
Our annotators work on platforms with AI assistance and human-in-the-loop (HITL) validation, which speeds up repetitive labeling while people stay accountable for every label. When you outsource video annotation to us, you get a dedicated project manager, staged deliveries and frame-to-frame consistency checks on every batch, backed by our data security and confidentiality policy.
300+
Data annotators
2 million+
Video data points annotated
95 %
95%+ Delivered accuracy after QA
99.5 %
First time approval
99.4 %
On-time delivery
Create high quality training datasets to power your AI and ML models.
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Tailored video annotation techniques to power your AI and ML models for diverse needs
Use rectangular boxes to define specific areas and track objects across frames, helpful in object recognition, motion tracking, and behavior analysis in videos.
Plot points on each vertex and drawing precise multi-sided shapes around objects to capture complex contours, enhancing accuracy in object detection and tracking.
Examine video frames and classify each pixel into categories, creating detailed, pixel-level understanding of scenes for advanced object recognition and scene analysis.
Identify specific points on objects, capturing movement and posture in detailed analyses, crucial to detect body features and include facial expressions and emotions.
Use points to mark critical points on objects or features, enabling precise measurements and tracking of structural changes or movements over time.
Draw three-dimensional boxes around objects, to track objects and provide spatial context and dimensions, crucial for depth perception and object interaction analysis.
More than 95% of our clients are recurring, a testament to the unwavering trust and satisfaction our services consistently deliver.
Operations Head, Construction Technology Company, Germany
Vice President, Operations, Californian Technology Company
Meticulous annotation workflows to ensure precision and consistency in every data point.
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Diverse Use Cases of Video Annotation across Industries
Video annotation involves labeling objects or events in video frames, enabling machine learning algorithms to understand dynamic scenes. It’s an extension of image annotation, considering the temporal aspect of data.
Assess providers on the basis of their quality assurance processes, proven experience in your needed annotation types (e.g., polygons, keypoints), and scalability to handle project volume. Review their data security protocols, annotation tool expertise, communication procedures, and adaptability to tailor workflows. Ask for pilot projects or sample data to confirm capability and fitment.
Our experienced annotators carefully analyze video sequences, ensuring accurate labeling of complex actions or events. Detailed annotation guidelines and iterative feedback processes are employed to maintain precision.
We annotate MP4, AVI, MOV and other common video formats. Annotations are delivered in JSON, XML or CSV, or in a custom schema your pipeline needs. Share a sample file and we will match it.
Yes, we offer 3D video annotation services, including depth estimation, 3D objects tracking, and spatial annotation, supporting applications that require three-dimensional understanding.
We implement frame-to-frame consistency checks and annotator training to ensure labels are consistent across frames, crucial for accurate object tracking and event recognition.
Yes, our workflows and platforms allow multi-label annotation of a single video frame or sequence. We support intricate taxonomies, allowing for object detection with multiple classifications, attribute assignment, or overlapping semantic masks per frame. Specify your needs, and our system supports varied, concurrent category labeling for advanced computer vision model training requirements.
We combine detailed guidelines, annotator training, frame-to-frame consistency checks, consensus checks between annotators, expert review and performance tracking. Batches that fall below the agreed threshold are re-annotated before delivery.
Yes, our infrastructure is scalable to handle large-scale video annotation projects, including long-duration videos. We ensure timely and accurate annotations even for extensive video datasets.
Yes. Although annotation itself is not real-time, we produce labeled data optimized for training real-time AI systems. This includes effective annotation methods such as sparse keypoints or bounding boxes that are ideal for low-latency inference. We design data formats to support fast model training and deployment for applications requiring instantaneous environmental perception and response.
Yes, we provide post-annotation support, including data validation, quality checks, and re-annotation if necessary. We ensure the annotated videos meet the desired quality standards for seamless integration into AI and ML applications.
Yes, our annotators are skilled in annotating specific elements within videos, including facial expressions, object interactions, and other nuanced details, enabling precise analysis for AI and ML models.
Our pricing depends on factors such as project complexity, annotation type, video duration, and required turnaround time. We offer competitive and transparent pricing tailored to specific project needs.
Yes, we offer consulting services to assist clients in designing effective video annotation strategies, ensuring the right annotation methods are applied to meet project requirements and objectives.
Prioritizing client’s growth, fostering trust, collaboration, and leading with empowerment to achieve shared success.
Bachal Bhambhani
Sr. Vice President, Sales
Bachal represents HitechDigital in North America, and helps client and our production teams collaborate effectively on projects and partnership initiatives.
Snehal Joshi
Director, Data Solutions & BPM
Snehal, a seasoned leader, manages a large data team. He's delivered numerous projects, driving growth through process innovation for clients across industries.
