Accurate & Scalable Media Annotation Services
Artificial Intelligence and Machine Learning rely on one core foundation— high-quality, accurately annotated data. Without precise training data, even the most advanced algorithms fail to deliver reliable results. At ScanRabbit, we specialize in providing scalable, accurate, and effective annotation and labelling services that transform raw media into structured, machine-readable insights.
We provide high-quality image and video annotation and labelling services to power computer vision and AI training data solutions. Our team specializes in object detection, image classification, semantic segmentation, and custom tagging, ensuring datasets are accurate, consistent, and ready to train advanced machine learning models.
Our image annotation services provide pixel-perfect accuracy for computer vision models. From simple bounding boxes to complex semantic segmentation, we deliver the precision your AI needs.
Marking objects of interest for object detection tasks with precise coordinates and classifications.
Pixel-level labelling for detailed computer vision models requiring precise object boundaries.
High-precision outlines for irregular shapes and complex object boundaries.
Identifying facial points, gestures, or object landmarks for advanced recognition models.
Our video annotation services track objects and events across time, providing the temporal context your models need for accurate predictions and understanding.
Tracking objects and actions across sequences with consistent annotations throughout.
Annotating movement, behaviors, and interactions for comprehensive video understanding.
Road element and obstacle annotation for self-driving systems and ADAS development.
Transform unstructured text into structured, machine-readable data for natural language processing models. Our text annotation services enable accurate sentiment analysis, entity recognition, and more.
Identifying people, places, brands, and entities in text for information extraction.
Labelling emotions, tone, and sentiment in customer feedback and social media content.
Grammar-based annotations for NLP models requiring linguistic understanding.
Sorting and classifying documents, reviews, or messages for automated organization.
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Our audio labelling services convert speech and sound into structured, time-aligned data for speech recognition, speaker identification, and acoustic analysis models.
Converting audio into structured, time-aligned text with precise timestamps.
Labelling speech by different speakers for multi-speaker recognition systems.
Highlighting tone, emotion, or pitch for advanced speech and emotion recognition models.
Let's discuss your annotation needs and create a custom solution for your project.
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