Unlocking video intelligence through precision-driven annotation solutions
Businesses aiming to utilize video intelligence for their computer vision models are often confronted with challenges due to inconsistent annotations, subjective interpretations, vast volumes of footage, and scalability issues.
We, at HitechDigital, as part of our data annotation services, provide specialized video annotation and labeling services tailored to meet the unique needs of your computer vision projects. Our skilled video annotators offer a range of services including frame extraction and analysis, object detection, recognition, contextual description, optical flow annotation, instance segmentation, and more, enabling seamless scalability.
Employing methodologies such as frame-by-frame labeling, video classification, event-based timestamp labeling, live stream monitoring, and video moderation, we construct training datasets to train your deep learning models. Our comprehensive datasets encompass labeled and tagged object segments, contextual descriptions, scene depictions, optical flow annotations, and instance-wise segmentation.
We prioritize quality assurance through rigorous audit mechanisms and validation techniques. By continuously improving our processes and adhering to industry standards, we ensure the highest level of security, accuracy and reliability in annotated video data.
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.
We offer various video annotation services including object tracking, action recognition, temporal annotation, event recognition, and 3D video annotation, catering to different AI and ML applications.
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.
We use a combination of manual annotation by experts and specialized video annotation software, ensuring efficiency and accuracy in labeling dynamic scenes.
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.
We adhere to strict data security protocols, including secure data transfer, limited access, and confidentiality agreements, ensuring the protection of sensitive video data throughout the annotation process.
Turnaround times vary based on project complexity and video duration. We work closely with clients to establish realistic timelines and ensure timely delivery of annotated videos.
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.