Data Annotation Service Offerings
The Data Annotation services at Velan provide organizations with high-quality solutions which enable them to design efficient and accurate AI models. Our annotation expertise spreads across multiple types ensuring your machine learning and artificial intelligence projects obtain exact and properly labeled data.
Image Annotation
AI models require image annotation to operate efficiently in object detection and facial recognition systems and autonomous vehicles as well as medical imaging applications. Our image annotation services experts implements bounding boxes alongside polygon annotation and semantic segmentation processes, landmark annotation, and keypoint annotation to achieve maximum precision. Our team delivers project-specific, precise annotated images to enhance the performance of business's artificial intelligence applications.
Every organization requiring image annotation services for retail and healthcare and security and self-driving technology applications can access our complete AI model enhancement system.
Audio Annotation
The audio annotation services from our company produce perfectly labeled datasets that train models utilized by businesses operating in speech recognition, voice assistants, and audio-based AI technology. Our company enables AI systems to achieve a better understanding of user speech through the recognition of different speaking patterns and variations in tonality.
Our services include:
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Speech-to-Text Transcription
Converting spoken language into written text.
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Speaker Identification
Labeling different speakers in an audio file.
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Emotion Detection
Annotating tone, pitch, and sentiment in speech.
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Noise Tagging
Identifying and filtering background sounds in audio clips.
We cater to industries such as customer service, healthcare, and entertainment, where audio annotation plays a vital role in improving AI-driven communication.
Text Annotation
Text annotation proves vital in the operation of natural language processing (NLP) as well as chatbots alongside sentiment analysis procedures and search engines. Text annotation services experts at our facility process extensive data with precision so AI models can effectively recognize contextual understanding and user intentions as well as emotional expressions.
Our services include:
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Named Entity Recognition (NER)
Identifying names, places, dates, and other critical entities in text.
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Sentiment Analysis
Categorizing text into positive, negative, or neutral sentiment.
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Intent Recognition
Helping AI understand user commands in chatbots and virtual assistants.
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Linguistic Annotation
Adding metadata such as syntax, semantics, and grammatical structure.
We ensure that your NLP models are trained with well-structured and correctly labeled text data, enhancing their accuracy and usability.
3D LiDAR Annotation
Our 3D LiDAR annotation services develop structured datasets which help businesses using self-driving cars and robotic systems and geospatial analysts achieve better depth perception within their AI models.
Our services include:
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Point Cloud Annotation
Labeling objects in 3D space for autonomous vehicles.
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Sensor Fusion Annotation
Integrating data from multiple sensors for AI accuracy.
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Bounding Box & Semantic Segmentation
Identifying and classifying objects with high precision.
Our detailed 3D LiDAR annotation helps AI models detect obstacles, predict movements, and improve navigation, making autonomous technology safer and more efficient.
Video Annotation
The essential role of video annotation exists for enabling autonomous driving along with action recognition surveillance systems and robotic systems. The team systematically adds precise labels to every frame for the creation of precise training data that feeds AI models.
Our services include:
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Object Tracking
Identifying and tracking moving objects across frames.
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Event Annotation
Labeling specific actions or incidents within a video.
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Pose Estimation
Mapping human body movements for sports analysis or healthcare AI.
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Scene Classification
Categorizing environments, such as indoor vs. outdoor settings.
Our frame-by-frame video annotation services approach ensures AI systems can interpret real-world scenarios with greater accuracy.