Computer Vision
Detect, classify and analyze images.
Computer vision models trained on Western imagery routinely fail in the Arab world: Arabic signage, right-to-left documents, regional dress, architecture, and lighting conditions all shift the data distribution. We build image and video datasets that reflect the region your model will actually operate in.
From street-scene capture across MENA cities to Arabic OCR document corpora and object annotation, our teams collect, label, and quality-check vision data at production scale.
What we deliver
- Arabic scene text & signage image corpora
- Bounding boxes, polygons, and segmentation masks
- Arabic OCR document datasets (printed & handwritten)
- Video annotation with temporal labels
- Custom collection in 15+ MENA locations
How we work
We scope your label taxonomy with your ML team, run a calibrated pilot batch, then scale with multi-pass QA and inter-annotator agreement scoring — so every batch ships with measurable quality, not promises.
Let's build the next generation of Arabic AI together.
Tell us about your project — speech, text, image, video, or LLM data. We'll scope volumes, languages, and delivery — usually within one business day.