Rendered.ai

NVIDIA GTC 2025 is wrapping up! Nathan Kundtz & the Rendered.ai team are worn out from the explosive interest in synthetic data generation for computer vision, especially after Jensen's keynote earlier this week. If we didn't get to chat with you onsite, reach out to us for a personalized demo of the Rendered.ai platform at https://lnkd.in/gNsvqrb8. #GTC25 #computervision #NVIDIA #syntheticdata #PaaS

Staying ahead in AI and computer vision doesn’t have to be complicated. Get expert insights, the latest use cases, and industry updates delivered straight to your inbox each month. ?? Sign up for The Synthetic Edge newsletter today: https://hubs.li/Q03cwGxM0 #syntheticdata #computervision #artificialintelligence #machinelearning

Computer Vision Engineers: Is it possible to engineer customized training datasets, manage and share 3D assets, generate unlimited amounts of synthetic data, train models, and experiment in one collaborative space? Newly released features on the Rendered.ai Platform let you do just that! ?? Learn about the newest Rendered.ai Platform machine learning, inference, and data cleaning features in this blog: https://hubs.li/Q03bypbQ0 These latest features built directly into the Rendered.ai Platform are designed to save you significant development time and include: ? Machine Learning – Access, train, and measure performance of pre-loaded computer vision models or work with our team to integrate your preferred model. ? Inference Services – Run inference jobs against trained models to predict performance with newly generated synthetic datasets or your own datasets. ? Inpaint Services – AI-assisted cleaning of existing images to quickly modify and generate scalable synthetic data to train models for a more diverse set of scenarios. Try these new features for yourself! Start your free trial of the Rendered.ai PaaS and explore pre-built workspaces to experiment with: https://hubs.li/Q03bycx50 #computervision #syntheticdata #artificialintelligence #machinelearning

Are you missing out on the right AI tools to help you overcome obstacles in computer vision simply because there are too many to sort through? Cut through the AI hype and get time-saving insights from computer vision engineers in the field with Rendered.ai's new Computer Vision Unlocked series. ?? Watch the first episode on trial and error with text-to-3D tools now: https://hubs.li/Q03bypcJ0 In this episode, Nathan Kundtz, CEO of Rendered.ai, chats with Matt Robinson, Lead Solution Architect, about challenges with expanding test datasets for an underperforming class of objects to train a classification model and how Microsoft's Trellis 3d helped him to overcome this issue quickly. ?? Want to dive deeper into the project Matt was working on? See step-by-step how Matt used the Rendered.ai PaaS, open-source test datasets from Kaggle, and NVIDIA's TAO model to build a diverse training dataset and arrive at a high-performance model to classify ships in marine oblique scenes in just 4 days. Learn more: https://hubs.li/Q03byq3-0 Coming soon: Episode 2 of Computer Vision Unlocked, AI-assisted removal of objects from existing background assets with Inpaint to speed up synthetic imagery generation. #syntheticdata #computervision #artificialintelligence #machinelearning #3Dmodeling

?? Rendered.ai is showcasing live synthetic data engineering at NVIDIA GTC 2025 this week. Come see us at Booth #133 in the Industrial & Physical AI Pavilion! ?? There’s still time to schedule a 1:1 meeting with our experts to explore how synthetic imagery can support your work: https://hubs.li/Q03byq3Y0 Let’s talk computer vision, synthetic data generation, and what’s next for model development! See you soon. #GTC25 #artificialintelligence #machinelearning #syntheticdata #computervision

?? 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