Rendered.ai

💥Have you heard about the latest advancements in #Xray technology, boosting safety and visibility in the #medical and #security fields? Exciting changes are happening in how #nextgen X-ray systems are designed, tested, and deployed with the help of innovative companies like Quadridox, Inc. Learn how Quadridox and Rendered.ai have teamed up to develop state-of-the-art X-ray tools and technologies trained to detect a wide variety of threats using #syntheticdata in our📝latest blog: https://buff.ly/4e971aR

The🌎#DoDIIS24 Worldwide Conference starts next week! Are you attending?🤓Set time now to connect with Rendered.ai's #syntheticdata #engineering experts on site: https://buff.ly/40mnRQt Visit us at Booth #1240 to see rapid, repeatable workflows and automation for customized data generation, which fuel faster training and validation of #computervision algorithms. What to Know: ✅ Still need to register? https://buff.ly/3YhBqxN ✅ Conference Dates: October 27th-30th ✅ Omaha Convention Center in Omaha, Nebraska ✅ Find Rendered.ai in the Exhibit Hall at Booth #1240 Defense Intelligence Agency

💥Market.us reports that #SyntheticApertureRadar imagery can cost as much as $3,300 per scene💰💵 . If hundreds of thousands of #SAR images are needed to train and validate #remotesensing systems, #AI development costs can get quickly out of hand! #Datascientists are solving this problem by engineering their own synthetic SAR imagery, like what you see here -- at greater scale and lower costs. 😀 Interested in generating synthetic SAR data on demand? Request a free trial of the Rendered.ai data engineering platform now: https://buff.ly/3BXgR28

⁉️ How do you train vision-based #AI and #ML systems to solve tomorrow's problems🫨? Using #syntheticdata to supplement training datasets can power performant #computervision #algorithms to accurately detect a diverse set of objects and scenarios quickly and affordably.⭐Get more tips on synthetic data generation from the "Synthetic Data for Computer Vision Teams" guide! Rendered.ai has a team of synthetic data generation experts and best-in-class simulation partners ready to help you avoid the common mistakes that many #artificialintelligence and #machinelearning development teams make.✅Contact us if we can help guide you through your journey with synthetic data for computer vision! https://buff.ly/3Ye2UV4

⬇️ #Syntheticdata is lowering the data barriers to building high-powered, 🦾next-gen #AI products. Get a behind-the-scenes look at the diverse synthetic imagery that can be quickly created to train vision-based #artificialintelligence using a data engineering platform like Rendered.ai. 📩 Download our lookbook: https://buff.ly/3Y9ewJ3 💡Using a ready-made framework to engineer your own synthetic data with configurable, reusable workflows reduces the time and cost of developing, testing, and validating performant #computervision algorithms and enables easier experimentation with #AI and #ML models. To see more examples of engineered #SAR, #RGB, hyperspectral, multispectral, #X-ray, and other types of synthetic imagery created with the Rendered.ai #PaaS and partner simulators mentioned below, schedule a demo with🤓one of our experts: https://buff.ly/486E11X Quadridox, Inc. Rochester Institute of Technology Ansys

👯 Are you using #digitaltwins to simulate and test different scenarios in #inventorymanagement? 📦Physically accurate data is critical in training #warehouse #AI systems to make real-time business decisions, 🚨and diverse, real-world training data is not always available. Here are a few warehouse scenarios generated with configurable workflows, efficiency tools, and Blender Cycles in the Rendered.ai #PaaS. Rendered.ai is helping #datascientists fuel their vision-based #artificialintelligence models to deliver faster and more accurate results by training them with: ✅ Synthetic imagery of a more diverse set of true/false test scenarios and environmental variables ✅ Physically accurate, rule-based data generation instead of relying on #GenerativeAI ✅ Engineered #computervision data with precise labeling and annotation Want to learn more? 💥Connect with Rendered.ai's team of synthetic data generation experts to see how you can save time and money training advanced systems for inventory and warehouse management: https://buff.ly/406NCE5

Rendered.ai's webinar with⚡tips for developing performant #computervision #algorithms for inspection, binning & sorting, and #inventorymanagement in #manufacturing faster is now available to watch on-demand! 👀 Watch the webinar now: https://buff.ly/4dPecEZ ✅ In this webinar, synthetic data generation experts from Rendered.ai explore tools and methods that accelerate training #machinevision algorithms to accurately identify new defects, experiment with new sensors, and more easily innovate for future needs. 💪 Reach out to our experts to discuss your specific needs and see the Rendered.ai synthetic data engineering platform for yourself: https://buff.ly/3BEp7nu

Check out this 🤓 expert guide from Rendered.ai to help you use #syntheticdata generation to develop performant #computervision algorithms faster. 📩 Download our guide now! https://buff.ly/3Yf3kLV With expert guidance, many of the common pitfalls #datascientists experience in computer vision can be avoided, including: ❎ Limitations in training #artificialintelligence and #machinelearning systems with only real data, inaccurately labeled data, or data synthesized solely with #GenerativeAI ❎ Wasting months or years trying to generate customized synthetic data manually ❎ Slow and difficult experimentation and validation of #algorithms without the right support frameworks Rendered.ai's team is always available to offer its expertise in synthetic data generation, computer vision, and AI/ML training! 📆Schedule a quick consultation at any time: https://buff.ly/40f0NTJ. Space Capital Union Labs Ventures Marlinspike Congruent Ventures Tectonic Ventures IQT (In-Q-Tel) #NVIDIAInception AI Partnerships Corp. The Open Geospatial Consortium (OGC)

🚨 Don't miss the opportunity to learn about using #syntheticdata to reduce the time and cost of training #AI systems to detect defects and manage inventory effectively in #manufacturing. 💥Save your seat for Rendered.ai's webinar, 'Driving Innovation in Machine Vision,' now: https://buff.ly/3ZQvvSN! In this webinar on Thursday, October 10th at 11 a.m. PDT/2 p.m. EDT, experts from Rendered.ai will share: ✅ How customized synthetic data generation can help manufacturing companies more easily innovate for future needs. ✅ The user-friendly tools and methods that accelerate the training of machine vision systems to accurately identify a broader set of defects and experiment with new sensors and inspection scenarios. ✅ A live demo of generating synthetic imagery to support sorting, binning, and defect detection processes. Are you too busy to attend the webinar this week? No problem! Registrants will gain access to watch the webinar on-demand and share it with their colleagues afterward. Register now at https://buff.ly/3ZQvvSN. Space Capital Union Labs Ventures Marlinspike Congruent Ventures Tectonic Ventures IQT (In-Q-Tel) #NVIDIAInception AI Partnerships Corp.

🔑 Guided #syntheticdata generation is unlocking new possibilities for simulating #SAR, #RGB #satellite, #multispectral, #hyperspectral, and other types of #3Dimagery?🛰️ 💥Check out this example created with the Rendered.ai synthetic data generation #PaaS! Our team of experts worked with #engineers using the Rendered.ai PaaS to power this #syntheticapertureradar imagery of a military tank in a💫360-degree azimuth sweep. The 2-degree step at a 45-degree look-angle enables different views of the vehicle, its unpaved road surface, and the effect that surrounded trees🌳🌳🌳has on the object's visibility. ⭐Accessing a diverse and customizable dataset with workflows that could easily be reused and refined was critical to simulating the essential details of the asset. Often,🚨real datasets, those synthesized with #GenerativeAI, and data without proper labeling are insufficient for providing such detail. For edge-case scenarios, real data may not even exist. That is where synthetic data is vital💪! Working with synthetic data for this simulation gave the engineer the ability to: ❇️ Reveal critical details on the asset through layover and shadowing ❇️ See how a high-resolution commercial collection would generate if it could gather unlimited collections around a scene ❇️ Simulate how other objects, such as the trees, obscure the tank in ways that aren't the same as visible light, consistent with what a real-world sensor would observe, including the tank shadow and broadside flashes from the barrel Want to see 👀 more of what the Rendered.ai team and collaborative platform can do? Connect with one of our experts today! 💥https://buff.ly/4dCAfPg Space Capital Union Labs Ventures Marlinspike Congruent Ventures Tectonic Ventures IQT (In-Q-Tel) #NVIDIAInception AI Partnerships Corp. The Open Geospatial Consortium (OGC)