Computer Vision
01 / 06Labelled images and video from the environments your model will actually meet.
Build better AI with high-quality human data from Africa and beyond. MyDeepTech helps AI companies collect, annotate, evaluate and curate the data needed to build reliable AI systems.
Building powerful models takes more than compute and algorithms. It takes diverse human data, high-quality annotation, real-world environments, local language expertise and continuous human evaluation.
Reliable in the real world, not just on benchmarks.
We connect AI teams to the people, data and expertise needed to turn real-world human experience into structured, high-quality datasets.
Real-world human data from diverse people, environments, languages and everyday experiences — captured across the contexts your AI will actually meet.
We organise and prepare datasets around your project requirements, so what reaches annotation is already fit for purpose.
Human-generated labels across image, video, audio and text, by contributors qualified for your task.
Human evaluation of AI outputs, models and responses — preference ranking, safety review and red teaming.
Quality-controlled datasets in your format, ready for training and evaluation.
Six ways we put human intelligence to work for your models.
Labelled images and video from the environments your model will actually meet.
Speech and text across accents, dialects and African languages, transcribed and verified by native speakers.
Human feedback that aligns LLMs with how real people across cultures judge quality.
Paired data across formats, captured from real human interactions and scenarios.
Structured human testing of models before and after launch.
Have a requirement that doesn't fit a category? Tell us what you're building. We'll design the data workflow.
Discuss a Custom Project →
Africa is one of the world's most diverse and underrepresented data environments. MyDeepTech gives AI teams access to contributors, languages, cultures and real-world environments across African markets.
We didn't start by building a database of workers. We built a community — and turned it into infrastructure that can be mobilised around your exact requirements.
We don't send tasks to random freelancers. We run the operation end to end.
Pull real samples from our multilingual voice, text and image datasets before you commit. Our REST API gives your team instant, read-only access to evaluate data quality firsthand.
curl "https://api.mydeeptechai.com/api/datasets/yoruba-speech-dataset/samples?limit=10" \
-H "X-Api-Key: {your_api_key}"
Preference data and evaluation that ground LLMs in diverse human judgement.
Labelled images and video from environments your model hasn't seen yet.
Real-world human demonstration and interaction data for embodied systems.
Speech across accents, languages and acoustic conditions, transcribed and verified.
Scenario capture and annotation for roads, cities and conditions outside the usual datasets.
Custom collection and evaluation designed around a research protocol.
Clients and contributors sign before any data moves.
Contributors see only what their task needs.
Role-based access to project data and tools.
Each client's data kept separate from every other project.
Managed tooling from collection through delivery.
Informed consent and fair pay for every contributor.
“MyDeepTech gave us access to high-quality human data that would have been difficult to collect and manage on our own. Their team understood our requirements, managed the data operation end to end, and delivered the quality we needed to move our AI development forward.”
Whether you need 1,000 data points or millions, we'll help you design the right human-data operation.
Let's build the human intelligence behind your next AI system.