At Gemperts, we understand that the quality of training data determines the quality of your AI. Our Data Annotation services provide precisely labelled datasets across image, video, audio, and text modalities — delivered at scale with rigorous quality assurance. Our expert annotators and AI-assisted tooling produce labels that meet the exact specifications of your model training pipeline. From bounding boxes and semantic segmentation to NLP intent tagging and audio transcription, we handle every annotation task with the accuracy and consistency your models demand.
Comprehensive image labelling including bounding boxes, polygon segmentation, keypoint marking, semantic and instance segmentation for computer vision model training.
Frame-by-frame object tracking, activity recognition labelling, event segmentation, and temporal annotation for action detection and autonomous systems datasets.
Speech transcription, speaker diarisation, emotion labelling, sound event classification, and acoustic scene tagging for ASR, NLU, and audio AI model training.
NLP dataset creation including intent classification, named entity recognition (NER), sentiment annotation, coreference resolution, and relation extraction labelling.
LiDAR and depth sensor data labelling for autonomous vehicle perception, robotics, and 3D scene understanding — including cuboid fitting and ground plane labelling.
Human preference ranking and feedback collection for reinforcement learning from human feedback (RLHF) — aligning generative AI models with human values and intent.
We develop detailed labelling specifications, edge case guidelines, and calibration datasets to ensure every annotator produces consistent, accurate labels.
We use semi-automated pre-labelling and active learning to accelerate throughput — reducing annotation time while maintaining label quality through human review.
Every annotation passes through inter-annotator agreement checks, expert review, and automated validation to achieve 95%+ label accuracy guarantees.
Annotated datasets are delivered in your preferred format (COCO, Pascal VOC, YOLO, CSV) with full data provenance and secure handling of sensitive content.
INDUSTRY IMPACT
Faster training data pipeline delivery for AV perception models through AI-assisted LiDAR and camera annotation.
Improvement in diagnostic model accuracy through expert medical image annotation with specialist reviewers.
Reduction in product catalogue management effort with automated image classification and attribute annotation.
Improvement in intent recognition accuracy from high-quality, domain-specific text annotation pipelines.
Increase in anomaly detection model reliability through large-scale annotated video surveillance datasets.
Improvement in crop disease detection model performance through precision aerial and ground-level image annotation.
OUR REACH
Delivering intelligent technology solutions across 12+ verticals — from healthcare to hospitality.