SyntheticAIdata
Scalable Synthetic Data for Vision AI Training
Train, annotate, and deploy computer vision models faster with Datature. All-in-one AI platform for image and video data—no coding required.
Datature is a no-code MLOps platform that empowers teams to build, train, and deploy computer vision models using image and video data. Whether you're working in healthcare, manufacturing, agriculture, or smart cities, Datature simplifies the entire pipeline—from data annotation to production-ready deployment.
Over 6,000 teams use Datature to accelerate AI development without needing large engineering resources. With support for 2D and 3D data, real-time feedback, and seamless deployment tools, it’s the preferred choice for startups, enterprises, and research labs.
Easily upload and manage datasets, including large-scale image and video files. Datature’s interface allows for precise labelling with classification, object detection, segmentation, and keypoint annotation. Features like AI-assisted annotation, version control, and advanced search improve speed and accuracy.
Use built-in workflows to experiment and train models without writing code. Choose from architectures like YOLOv8 or Faster R-CNN, apply augmentations, fine-tune hyperparameters, and visualize training performance—all in one place.
Deploy computer vision models securely via APIs, edge devices, or in the cloud. Auto-scaling, load balancing, and monitoring features are included to ensure enterprise-level performance. You can also set up model-assisted labelling and detect drift in real time.
Upload, organize, and track datasets using drag-and-drop or APIs. Datature supports popular formats like COCO and YOLO, and allows for quick switching between versions or projects.
Use multi-GPU training and real-time analytics to refine models quickly. Integrated tools support TensorFlow, PyTorch, ONNX, and more.
Automate training pipelines with AI-powered data augmentation, pipeline versioning, and integration with external labelling services for scalability.
Deploy models directly into business tools or software using REST APIs or SDKs. Integrations are available for platforms like Google Cloud, Slack, and various edge devices.
Use AI to assist in medical imaging tasks like tumor segmentation, pathology analysis, and diagnostics from X-rays or MRIs.
Improve customer experience through footfall tracking, autonomous checkout, inventory monitoring, and product recognition.
Enable AI-powered surveillance, traffic safety monitoring, and public infrastructure management for safer, smarter urban environments.
Monitor crop health, optimize harvesting, detect pests, and manage land through AI-based image analysis.
Conduct automated inspections of infrastructure such as pipelines, solar panels, and power lines with high accuracy and minimal manual labor.
Streamline defect detection, optimize production lines, and perform safety inspections using real-time video and image data analysis.
Use the Python SDK or CLI tools to build custom applications and interact directly with Datature’s API. Supports quick model updates, data syncing, and remote deployment.
Datature is SOC 2 and HIPAA compliant, ensuring data privacy and safety for sensitive use cases, especially in healthcare and enterprise environments.
Datature offers onboarding guides, video tutorials, blogs, and a community for peer support. Direct Slack and email support is available for all users, even on the free plan.