
Image annotation for ethical AI
for ethical AI

Our humans in the loop® collect, annotate, and validate the datasets needed to train ethical and bias-free computer vision








Image annotation for Ethical AI
We are a social enterprise which provides ethical human-in-the-loop workforce solutions to power the AI industry

Female-led

Impact-driven

Ethically-minded
Solutions
Dataset collection
Our humans collect and curate custom ethically-sourced datasets which you can use to train your computer vision AI
Dataset annotation
We label your datasets by coupling manual annotations with advanced auto-annotation and smart labeling tools
Model validation
We audit your datasets and we perform manual error analysis of your model’s performance in order to provide useful insights
Human-in-the-Loop
Our humans can be plugged into the pipeline in order to handle edge cases in real time and make sure your system is trustworthy
Types of annotation
Our advantages

EU-based and GDPR-compliant
We are headquartered in the European Union and we are fully compliant with GDPR regulations. We reduce the transfer of sensitive data at a maximum. Datasets are collected and annotated with special attention to biometric and personal data.

Transparent and flexible pricing
We use a standard hourly rate and we calculate a per-file or per-annotation price based on the amount of time they take to complete on average. We have no additional or hidden fees for quality control, project management or tool usage.

Dedicated teams and manager
We assist you in scoping your project and choosing the appropriate tool, and we complete the tasks in several iterations based on your feedback. One team works on all batches from the same client so as to develop expertise and consistency.

“We developed a great partnership with Humans in the loop, and their dedication to our projects is evident in the final results. The communication was convenient and fast, tools were easy to use, and we could monitor the progress of the project and report any issues at any time. We appreciate their attention to details and their creative approach that made our annotation pipeline more productive.”
Aref Ariyapour
Senior computer vision engineer
Auto1
Industries we serve

Social impact
We are building the next generation of professional humans in the loop from conflict-affected regions and communities
We promote AI which is diverse and bias-free and we support projects which apply AI for social good
We are building the next generation of professional humans in the loop from conflict-affected regions and communities
We promote AI which is diverse and bias-free and we support projects which apply AI for social good
Datasets
Plant segmentation dataset
The dataset contains 144 images of plant seedlings shot at different time intervals within the span of 2 months
Daily object detection around the world
27k images with bounding box and tag annotations released in partnership with Gapminder's Dollar Street project
Medical mask and accessory detection
6k images for detecting medical masks and other accessories, published as a contribution to the fight against COVID-19
Semantic segmentation of aerial imagery
72 images for drone and satellite vision prepared in partnership with the MBR Space Centre in Dubai, UAE