Blog

We are excited to introduce REST API deployment - a new way for users to access their trained machine learning model with low code requirements.

Discover the different approaches to Zero-Shot / K-Shot learning: One-Shot Object Detection, Decoupled Faster R-CNN, Few-Shot Object Detection, and more.

Datature is proud to support Brainscanology’s missions to revolutionize shape analysis and shape the future of image-based diagnostics!

The complete guide to compare the performance of multiple object tracking algorithms and build your object tracker project on Datature's platform. Read more!

Announcing our US$2.7M Series Seed funding round, led by Openspace Ventures, with participation from January Capital and new strategic investors.

Build your very own ASL alphabet detection model on the Datature platform to accelerate your learning of ASL in building a more accessible community.

The new Datature Metadata Query is an in-built search engine on the Nexus platform to allow teams to better understand and curate their datasets.

Learn how to label images, create augmentation sequences, and train a Face Mask Detection Model without coding. Validate it with our open-source tool - Portal.

IntelliBrush is the fastest way to annotate complex images in a few clicks. No prior training and installation are required. Read more to find out.

Portal is the fastest way to load and visualize your computer vision model performance. Read more to find out how to test your models on images and videos now!

Learn how to train an instance segmentation model in 5 easy steps. Try out new network architectures and augmentation techniques quickly and easily. Read more!

We streamline the pipeline and tasks required to build computer vision models. Create object detection and segmentation models - without code!