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Datature
Datature is an end-to-end Vision AI platform for building, annotating, training, and deploying computer vision models. It replaces the typical multi-tool stack with a single platform covering the full pipeline from raw images and video to production inference on cloud, edge, and on-premises environments.
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The beginning of the file, from our validated copy saved 2026-10-21T01:30:45.542Z. Cached copy · Source on datature.io
# Datature
Datature is an end-to-end Vision AI platform for building, annotating, training, and deploying computer vision models. It replaces the typical multi-tool stack with a single platform covering the full pipeline from raw images and video to production inference on cloud, edge, and on-premises environments.
Datature serves teams that need production-grade computer vision without dedicated ML infrastructure staff. The platform supports image classification, object detection, keypoint detection, semantic and instance segmentation, and video classification. It includes 50+ model architectures (YOLO variants, EfficientNet, Mask R-CNN, transformer-based models), AI-assisted annotation tools, pre-configured training pipelines, and deployment to edge hardware (NVIDIA Jetson, MemryX, Hailo). Datature is one of the few platforms with native support for 3D medical imaging formats (NIfTI/DICOM) with multi-planar annotation.
Datature Vi is a new product that allows teams to fine-tune large vision-language models (VLMs), particularly CosmosReason2, Qwen, InternVL, and more. This product support users who wish to build their own VLM on their own data, and leveraging Datature's highly-efficient data pipelines. Datature is the only platform that supports both geometric models and VLMs end-to-end.
Over 10,000 teams across manufacturing, healthcare, agriculture, energy, logistics, sports, and defense in 53+ countries use Datature. Notable customers include FedEx, Toyota, NHS, Wien Energie, Rolls-Royce, and SATS.
## Product
- [Datature Label](https://datature.io/product/label): AI-assisted annotation tools supporting bounding boxes, polygons, segmentation masks, keypoints, and classification across images, video, and 3D medical formats
- [Datature Train](https://datature.io/product/train): Drag-and-drop workflow builder for model training with 50+ architectures, hyperparameter tuning, augmentation, and real-time training dashboards
- [Datature Deploy](https://datature.io/product/deploy): Model deployment to cloud APIs, edge devices (Jetson, MemryX, Hailo), and on-premises infrastructure with optimization and monitoring
- [Datature Services](https://datature.io/product/services): Professional services for enterprise implementation, custom development, and dedicated support
## Documentation
- [Introduction to Datature](https://developers.datature.io/docs/introduction-to-datature): Platform overview and core concepts
- [Quickstart Guide](https://developers.datature.io/docs/quickstart): Step-by-step setup for new users
- [Model Training Tutorials](https://developers.datature.io/docs/model-training-tutorials): Guides for training models across task types
- [Annotation Tools](https://developers.datature.io/docs/annotations): Documentation for all annotation features and workflows
- [Workflow Builder](https://developers.datature.io/docs/workflows): Creating and configuring training pipelines
- [Deployment Guide](https://developers.datature.io/docs/making-p
…
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