Use Cases
Explore how TrainsetAI powers real products across industries with rigorous data labeling workflows.
E‑commerce
Product categorization, visual search, recommendations.
- Multi-level taxonomy mapping (1M+ SKUs)
- Attribute extraction for filters (color, material, fit)
- Visual similarity training data for search and recommendations
Example: Label 250k products across 12 languages; +9.8% CTR uplift in recommendations.
Computer Vision
Defect detection, product recognition, quality control, segmentation.
- Pixel-accurate instance and semantic segmentation
- Defect boundary annotation with consensus QA
- Synthetic data generation for long-tail classes
Example: Reduce false negatives by 23% on manufacturing line inspection.
NLP
Chatbots, classification, NER, summarization, document understanding.
- Entity and relation extraction with adjudication
- Instruction-tuning datasets for support bots
- Evaluation sets for RAG systems
Example: Cut average handle time by 14% with improved intent accuracy.
Healthcare AI
Medical imaging, clinical analysis, video annotation.
- HIPAA-compliant workflows and PHI scrubbing
- Radiology segmentation with physician review
- Temporal event labeling in surgical video
Example: Achieve 0.91 Dice score on organ segmentation benchmark.
Robotics
Autonomy stacks, LiDAR annotation, sensor fusion.
- 3D cuboids, keypoints, and multi-sensor alignment
- Scenario tagging for policy learning
- Long-tail hazard mining
Example: Improve obstacle recall at 50m+ by 12% with curated LiDAR sets.
AgriTech
Crop monitoring, yield prediction, automated farming.
- Plant disease segmentation and severity scoring
- Counting and phenotyping datasets
- Multispectral normalization workflows
Example: Enable 8% yield improvement through early disease detection.
Geospatial
Satellite imagery, mapping, change detection.
- Large-area polygon labeling with tiling and dedup
- Object detection for infrastructure monitoring
- Temporal change detection sets
Example: Map 40k km of roads with <2% QC error rate.
