Human Teaching
for Machine Learning

Outsourcing data annotation to dedicated services, like Keymakr, saves computer vision developers time. It also guarantees high-quality and responsive image annotation. Human workers must locate, outline and label objects and people in order to annotate images. A wide variety of images require this careful annotation treatment.
Consequently, Keymakr employs a large team of experienced annotators who construct exceptional datasets, according to the most demanding specifications.

We work with a diverse range of media to create precise, human-annotated training datasets.
Our expertise with video annotation and labeling allows us to craft custom machine learning datasets that meet the demands of your project.

Improve the accuracy of your existing models.
We verify and correct your algorithmic outputs, including: bounding boxes, polygon annotation, instance segmentation, semantic segmentation, and all other annotation types. Quality training data plays an important part in developing computer vision.

We assign objects to different classes in images or videos, and help to train machine learning models to recognize objects in any context.

At Keymakr we are conscientious about collecting data from reputable and legal sources.
We exclusively use open source data to ensure the highest quality and transparency for our clients.

Keymakr studio supports the development of transformative technology by creating image and video data based on your specifications.