Unlocking video intelligence through precision-driven annotation solutions
The biggest challenge AI and ML companies face in computer vision is in maintaining labeling consistency across large video datasets. This is especially true for complex scenarios like object tracking or detailed segmentation. HitechDigital’s video annotation services remove this barrier with precision labeling of video data for AI and machine learning.
We provide AI video labeling services tailored to your computer vision projects. Our team annotates video for real-time AI systems using methods like frame-by-frame labeling, video classification, event-based timestamp labeling, live stream monitoring and video moderation. As a leading video annotation service provider, we include labeled and tagged object segments, contextual descriptions, scene depictions, optical flow annotations and instance-wise segmentation in annotated data.
For quality assurance and labeling consistency across every frame, we leverage advanced annotation platforms featuring AI-assistance and Human-in-the-Loop (HITL) validation. We are counted among the most reliable video annotation companies and continuously improve our processes and compliance with industry standards. When you outsource video annotation services to us, we take ownership of the task and guarantee the highest level of security, accuracy and reliability in annotated video datasets.
300+
Data annotators
2MN+
Video data points annotated
95 %
Accuracy
99.5 %
First time approval
99.4 %
Meeting deliverables
Create high quality training datasets to power your AI and ML models.
Talk to our video annotation experts →
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.
Yes, we can annotate videos in different formats, ensuring compatibility with various platforms and applications.
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.
Accuracy is assured through rigorous quality control procedures such as consensus checks (agreement among multiple annotators), expert opinions, and performance tracking. Detailed annotation guidelines, comprehensive annotator training programs, and advanced annotation systems with inherent validation checks together maintain high fidelity with low label errors and dataset consistency for sound model training.
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.
