AI data annotation from Uganda
We label training data for global AI teams in image, video, text, speech and documents. Native speakers of Luganda, Swahili and 12 regional languages make us the right choice for African-language AI datasets.
Annotation capabilities
Image and video annotation
Bounding boxes, polygons, semantic segmentation, keypoints, 3D point clouds and action recognition labels for computer vision models.
NLP and text annotation
Named entity recognition, intent classification, sentiment labeling, coreference resolution and relation extraction in English and African languages.
Speech and audio data
Audio transcription, speech recording in native East African languages, utterance labeling and prosody annotation for ASR and TTS systems.
Document processing
OCR correction, form field extraction, table annotation and document classification for IDP and LLM fine-tuning pipelines.
Geospatial annotation
Satellite imagery annotation, land use classification, building footprints and infrastructure labeling for GIS and remote sensing models.
RLHF and alignment data
Human preference ranking, response rating and red-teaming for large language model fine-tuning and alignment workflows.
Native African language annotation
Most annotation providers cannot source native speakers of Ugandan and East African languages. Our team includes native annotators in all of these languages, which is especially valuable for ASR, NLP and translation model training.
Questions about AI annotation in Uganda
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