Rendered.ai

?? NVIDIA GTC 2025 is coming up fast! Rendered.ai is excited to be part of the action March 17-21, showcasing how synthetic imagery can help computer vision teams accelerate model development and scale faster. ?? Visit us at Booth #133 in the Industrial & Physical AI Pavilion to connect with our experts and see live demonstrations of synthetic data generation, model training, and inferencing in the Rendered.ai PaaS. ?? Want to maximize your time at GTC? Book a dedicated meeting with us in advance: https://hubs.li/Q039J6Jq0 ?? Not attending GTC? We are happy to share a personalized virtual demo anytime: https://hubs.li/Q039J3TN0 #GTC25 #artificialintelligence #machinelearning #syntheticdata #computervision

?? Big news: We've recently updated the Rendered.ai Platform to give computer vision teams a streamlined, collaborative environment for training, testing, and refining models. Check out our newest features: https://hubs.li/Q03bmQth0! With the 1.4.0 release, you can now: ? Access best-in-class computer vision models to train inside of the platform. ? Run inference jobs on trained models to predict model performance with different datasets. ?? Learn more about these new features and see how engineers trained a Meta Detectron2 computer vision model on the Rendered.ai Platform here: https://hubs.li/Q03bmQth0 #computervision #syntheticdata #artificialintelligence #machinelearning

Creating the optimal computer vision training dataset in days—not months—is now possible with the right tools. ?? Learn how this applies to classification modeling in our latest blog: https://lnkd.in/euefv_F4 Dive into a real-world example of how engineers used the Rendered.ai PaaS to build a diverse training dataset, establish a performant classification model, and run inference to predict future model performance—all in 4 days. #syntheticdata #computervision #artificialintelligence #machinelearning #classification

? What if you could train a computer vision model in days instead of months? See a live demo of how the Rendered.ai PaaS accelerates computer vision development at NVIDIA GTC next week. From cutting-edge research to real-world applications, our platform helps teams rapidly generate the diverse training data they need to test, refine, and scale AI models faster. ?? Stop by Booth #133 in the Industrial & Physical AI Pavilion to chat with our experts and see Rendered.ai in action. ?? Secure an onsite meeting with us in advance: https://hubs.li/Q039J0nZ0 ?? Not traveling to San Jose this year? Connect with our synthetic data generation experts for a virtual demo anytime: https://hubs.li/Q039H-BX0 #GTC25 #artificialintelligence #machinelearning #syntheticdata #computervision

What if you could train a high-performing computer vision model with just 20% of a real dataset in a fraction of the time? ?? Let’s move past the AI buzz and look at a real example for classification applications! With the Rendered.ai Platform as a Service, a NVIDIA TAO model, and open-sourced test datasets from Kaggle, engineers successfully demonstrated that only 20% of real data was needed when merged with customized synthetic data to build a performant classification model. See exactly how they used these tools collectively to cut development time down from months to days. ?? ?? Download the full summary of this end-to-end workflow example to learn more: https://hubs.li/Q039x83y0 ??? Try the Rendered.ai workspace fully loaded with all of the 3D assets, datasets, model, and inference metrics used in this example. Request a free trial of the Rendered.ai PaaS with content code MARINECLASS: https://hubs.li/Q039xpWf0 #syntheticdata #computervision #artificialintelligence #machinelearning #classification

?? The future of AI is here—and we’re bringing accelerated synthetic data generation to the table! Join Rendered.ai at NVIDIA GTC 2025 from March 17-21 in San Jose, CA, to explore how synthetic computer vision data transforms AI development for industries like manufacturing, healthcare, logistics, and more. ?? Visit us at booth 133 in the Industrial & Physical AI Pavilion to see synthetic data engineering in action and discover how we help computer vision teams unlock new levels of model performance. ?? Want to learn more? Schedule a dedicated meeting with our team before the event: https://hubs.li/Q038wcQB0 ?? Haven’t registered for GTC yet? Get your discounted rate here: https://hubs.li/Q038vw9F0 #GTC25 #artificialintelligence #machinelearning #syntheticdata #computervision

What's slowing down development in your computer vision projects? ?? From data acquisition nightmares to incomplete annotations and the need for specialized expertise, building performant computer vision algorithms is challenging. Rendered.ai's webinar, "5 Data Pitfalls to Avoid in Computer Vision," explores common data hurdles and offers actionable solutions—including how synthetic data can accelerate your AI training and validation. ?? Watch now: https://hubs.li/Q038wwj40 #syntheticdata #computervision #artificialintelligence #machinelearning

?? Building high-performing computer vision models involves overcoming one key challenge: acquiring scalable, diverse, quality data. What if synthetic data could change that? ?? Synthetic data redefines how we train AI models, offering scalable, diverse, and accurate datasets that can supplement real-world data when it is difficult, cost-prohibitive, or even impossible to obtain. Rendered.ai provides physics-based synthetic imagery for applications like ??? earth observation, ?? medical imaging, and ?? defect detection, using leading simulators such as the Rochester Institute of Technology's DIRSIG, NVIDIA Omniverse, Quadridox, Inc.'s QSIM RT, and more. ?? Download our Synthetic Imagery Lookbook to see examples of imagery generated for a variety of use cases with the Rendered.ai PaaS: https://hubs.li/Q037B-hn0 #computervision #syntheticdata #artificialintelligence #machinelearning

??? How can synthetic data unlock computer vision for manufacturing and logistics? ?? Using digital twins of assembly and inspection lines, warehouses, and transport route environments, synthetic imagery can be easily generated with the Rendered.ai platform to effectively train AI models to detect and classify a diverse set of objects and discrepancies. Companies can enhance defect detection, streamline inventory tracking, and improve safety monitoring more efficiently than ever before. ???? Synthetic imagery offers a scalable, cost-effective path for AI innovation across the supply chain and machine vision systems. Discover how synthetic data can drive your AI innovation. ??Explore the art of the possible with a personalized demo of the Rendered.ai platform: https://hubs.li/Q037Cdln0 #syntheticdata #computervision #artificialintelligence #manufacturing #logistics

When real-world hyperspectral, multispectral, and electro-optical imagery to train computer vision is difficult, expensive, or even impossible to obtain, physics-based synthetic data generation can bridge that gap. ?? Using DIRSIG, a powerful simulation toolkit developed by the Rochester Institute of Technology's DIRS Lab, engineers can generate physically accurate synthetic images to train applications ranging from satellite remote sensing to drone and ground-based detection —all within the Rendered.ai PaaS. Try Rendered.ai's new GitHub resource, including open-source access and simple instructions to DIY a synthetic data generation workspace with DIRSIG. ?? Get started here: https://hubs.li/Q0377Fc20 Experience firsthand how physics-based synthetic data can accelerate your AI and ML model training. #syntheticdata #artificialintelligence #computervision #simulation