Data Annotation Services

High-Quality Training Data for AI & ML Models

Data Annotation Services

In the fast-paced world of artificial intelligence and machine learning, high-quality data is the cornerstone of building efficient and reliable models. Whether you're developing cutting-edge AI applications or enhancing existing models, our comprehensive data annotation services provide the accuracy and precision needed to elevate the performance of your AI.

Strong Team of Manual Annotators Available for Instant Work

We have a robust team of experienced manual annotators ready to start on your projects immediately. Our skilled professionals can scale up quickly to meet your deadlines, ensuring fast turnaround times without compromising on quality. Whether you need urgent annotation work or large-scale labeling projects, our team delivers accurate, high-quality results on time.

Workflow Annotation

Workflow annotation involves capturing, documenting, and labeling user interactions and processes within software applications, websites, and SaaS platforms. We meticulously record and annotate every step, click, navigation path, and user action to create comprehensive datasets that train AI models to understand and replicate complex user workflows.

Our workflow annotation services include:

Software Application Workflows: Document complete user journeys through desktop and mobile applications, capturing UI interactions, menu navigations, form submissions, and feature usage patterns for training intelligent automation systems.
Website & E-commerce Workflows: Annotate user paths through websites like Amazon, capturing product searches, shopping cart interactions, checkout processes, and user behavior patterns to enhance recommendation engines and improve user experience.
SaaS Platform Workflows: Record and label complex workflows in SaaS services, including multi-step processes, data entry sequences, report generation, and integration patterns to train AI assistants and workflow automation tools.
User Interaction Sequences: Capture detailed sequences of clicks, scrolls, form inputs, and navigation patterns with precise timestamps and contextual annotations to build comprehensive training datasets for process automation and intelligent assistants.

Text Annotation

Text is one of the most widely used data types in AI. We provide reliable text annotation services with expertise in multiple languages and diverse subject-matter domains, ensuring your models understand and process natural language with high accuracy.

Our text annotation services include:

Sentiment Annotation: Assess attitudes, emotions, and opinions to provide valuable business insights, moderate content, and improve safety.
Intent Annotation: Categorize intent to make it easier for machines to understand the intent behind a query and route the request.
Semantic Annotation: Tag specific concepts within titles and search queries to train your algorithm to recognize key phrases and improve search relevance.
Named Entity Recognition: Detect critical information in large data sets with extensive manually annotated training data.

Audio Annotation

Train your model to understand the diversity of natural language, capturing the nuance of dialect and speaker demographics through highly accurate audio annotation. Audio annotation includes transcription and timestamping of speech data and can be applied to varied use cases such as staging aggressive speech indicators and non-speech sounds like glass breaking for security and emergency applications.

Key capabilities include:

Speech Transcription: Convert spoken language in varied recording environments (e.g. multi-speaker, background noise) into text for analysis and model training.
Language and Dialect Identification: Annotate audio data to recognize different languages and dialects.
Speech Labelling: Label audio data with speaker information such as demographics, speech topic or emotion to enhance personalized AI applications.

Image Annotation

Image annotation is one of the most vital responsibilities in computer vision applications. It is essential for training models for computer vision, facial recognition, and other visual AI applications. We provide detailed labeling of images to ensure precise and accurate model training.

Tackle use cases such as:

Object Detection: Identify and label objects within images for applications like autonomous driving and security systems.
Facial Recognition: Annotate facial features to improve identification and verification processes.
Image Classification: Label and categorize images for valuable use cases such as organizing an e-commerce product catalog and recommending content in a social media algorithm.

Video Annotation

Video annotation involves labeling sequences of images (frames) to train models for video analysis and recognition tasks. Improve computer vision capabilities for diverse applications across surveillance, autonomous navigation, social media, and AR/VR.

Video annotation tasks include:

Object Tracking: Annotate objects across multiple frames to enable dynamic scene analysis.
Action Recognition: Label actions and activities within videos for sports analytics, security, and more.
Event Detection: Identify and tag significant events in video footage for real-time applications.

Multimodal Annotation

Label and categorize data that spans multiple formats, such as text, images, audio, and video, within a single dataset. Multimodal annotation enables AI models to process complex inputs across different media types.

Prepare multimodal data for AI applications such as:

Caption Generation: Pair video, audio, and text to automatically generate captions for accessible content on television, social media, and more.
Gesture Recognition: Label human gestures and facial expressions to enable virtual reality models to interpret non-verbal cues.
Multimodal Search: Enable users to search via image, text, and voice for enhanced search relevance and product recommendations.