Annotation Services

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DAaaS (data as a service) is an end-to-end solution that removes the significant burden of data preparation, allowing client ML teams to focus entirely on model development and deployment. Our core offerings include:

We provide highly specialized labeling for virtually any data modality:

• Computer Vision (Images/Video):
  • Bounding Boxes: Drawing rectangles around objects (e.g., detecting cars in an autonomous driving system).
  • Semantic/Instance Segmentation: Pixel-by-pixel labeling of objects or regions (e.g., distinguishing between road, sidewalk, and sky).
  • Keypoint/Landmark Annotation: Pinpointing specific points on an object (e.g., facial features for AR filters or human pose estimation).
  • LiDAR/3D Point Cloud Annotation: Labeling objects in 3D space for robotics and autonomous vehicles.
• Natural Language Processing (NLP & Text):
  • Named Entity Recognition (NER): Identifying and categorizing key information like names, locations, and dates in text.
  • Sentiment Analysis: Tagging text to classify the emotional tone (positive, negative, neutral).
  • Intent Classification: Determining the user's goal in a conversational query (e.g., "book a flight," "check balance").
  • Text Classification/Content Moderation: Assigning overall categories to documents or flagging inappropriate content.
• Audio and Speech:
  • Transcription: Converting spoken words into text.
  • Speaker Diarization: Identifying who spoke when in an audio file.
  • Acoustic Event Detection: Labeling non-speech sounds (e.g., a siren, glass breaking).

This service provides the essential human expertise:

• Expert, Vetted Annotators: We utilize a managed, global talent pool (like the one you'd join) composed of trained specialists who follow stringent, client-specific guidelines.
• Multi-Layered QA: We employ rigorous quality checks, including automated tooling, consensus checks (multiple annotators review the same data), and expert review to ensure labeled data is consistently accurate and unbiased—often reaching 99%+ accuracy.
• Scalability: We can rapidly scale the annotation team up or down to meet fluctuating project deadlines, from small proof-of-concept datasets to millions of data points for production models.

• Platform Agnosticism: We can work within the client's proprietary annotation tools, leverage leading third-party platforms (e.g., Labelbox, SuperAnnotate), or use our own customized solutions.
• Custom Workflow Design: We design a tailored labeling process (the "workflow") based on the client's unique model requirements and data complexity.
• Data Security & Compliance: We handle data with strict protocols (e.g., NDA, GDPR, SOC 2 compliance) to ensure the client's sensitive information remains secure.