UINLP connects data teams with annotators worldwide, enabling structured collection, labeling, and distribution of text, image, audio, and video tasks — all from one unified platform.
4 types
Multi-Modal Tasks
S3-backed
Batch Automation
Mobile App
Annotator-Ready
AWS Cognito
Data Security
Purpose-built for complex, multi-modal annotation pipelines.
Classification, NER, sentiment, translation and Q&A annotation tasks.
Bounding boxes, segmentation masks, and visual question answering.
Transcription, speaker diarisation, and acoustic event labelling.
Temporal segment annotation, action recognition, and captioning.
Upload a dataset archive and the platform automatically chunks, packages, and distributes annotated batches to S3.
Annotators work on tasks via a dedicated Flutter app, enabling collections even in low-connectivity regions.
All authentication is managed by Amazon Cognito. Data transfers use presigned S3 URLs with short TTLs.
Group annotation batches into assets with custom fields, tags, and modality settings.
Monitor dataset processing status, browse assets, and download completed annotation packages instantly.
Deployed on AWS with Terraform-managed DynamoDB, S3, Lambda and API Gateway — fully scalable.
Sign in with your team credentials and start structuring your datasets today.
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