Difficult Sensor Types & Totally New Sensors
COMPUTER VISION ACCELERATED WITH SYNTHETIC DATA
Specialized Expertise, Engineering Technology, & Diverse Solutions Powering Faster Innovation in AI & ML
The Trusted Provider of Computer Vision Development Solutions to Quickly Overcome Challenges with:
Precise simulation for any CV sensor type: Synthetic Aperture Radar (SAR), infrared, multispectral, hyperspectral, X-ray, EO, RGB, & completely new sensor specifications.
Edge Cases & Rare Objects
Full control to customize every element of a scene to train CV models where diverse, scalable real-world imagery is not available or cost prohibitive.
Advanced Labeling
Auto-label data with 100% accuracy at scale with custom annotations, including sensor data that is difficult for humans to manually label.
Sensitive Scenarios
Fill training data gaps for high-risk use cases where real-world data is restricted for healthcare regulations, security, or consumer privacy reasons.
Rendered.ai Professional Solutions
Accelerated End-to-End Computer Vision Development Led by Rendered.ai’s Experts
Synthetic Data as a Service
Customized synthetic data to match any sensor type & training scenario need.
“Working with Rendered.ai, we were able to use synthetic data to significantly improve computer vision algorithm performance for detecting economically important objects in satellite imagery. AP scores improved across the board for identifying rare and unusual objects when combining synthetic images with actual satellite imagery compared with using real images alone.”
-James Crawford, Orbital Insight Founder, Chairman, CTO
Ready to Get Started?
Next-Level Enterprise Solution
Rendered.ai Platform as a Service: The Proven Force Multiplier for CV Engineering Teams
- Generate unlimited, highly customized, & 100% accurately labeled synthetic data in minutes.
- Automated drag & drop workflows for rapid iteration & knowledge share across teams.
- On-platform CV model training, validation, & performance analysis tools.
- Open framework – use integrated best-in-class simulators, tools, & models or bring your own.
- Flexible deployment options to AI pipelines.
“My two Ph.D. level data scientists were always in this thing, even though I didn’t want them generating images, I wanted them doing data science...They ended up generating their own images and owning the workflow themselves.”
-Francis Heritage, Faculty
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