Large Vision Models (LVMs) custom tuned for your specific domain
Combining the power of state-of-the-art LVMs and your proprietary data to push the limits of your vision solutions.
What are LVMs?
Large vision models (LVMs) are at the forefront of machine learning advancements in the computer vision domain. Trained on extensive collections of images and videos, these models are adept at analyzing and interpreting visual information. Because of their strong general performance, they facilitate a wide range of applications from image classification and object detection to scene understanding and visual anomaly detection, and can serve as powerful foundation models when building specialized computer vision solutions.
Improved accuracy
Thanks to their extensive training on diverse datasets, LVMs can show strong out-of-the-box performance on domain-specific vision problems. More importantly, custom tuning them on your domain-specific data can unlock new levels of accuracy.
Faster iterations
LVMs contribute to a shorter development cycle for computer vision applications. They allow for rapid prototyping and quicker deployment of custom solutions due to their pre-trained capabilities and efficient tuning methods.
Less reliance on data
Unlike building custom ML models from scratch by training them on massive, meticulously labeled datasets, LVMs and the models you build upon them can achieve comparable levels of performance with orders of magnitude less annotated data.
Future foundation
LVMs custom tuned on your proprietary data effectively serve as a foundation on top which you can build powerful vision solutions in your specific domain. And continuously updating your LVMs on new data enables your future use cases.
Beyond the hype
LVMs are not the silver bullet solution to your complex industry-specific problems. They can however make a significant impact on the accuracy, data-efficiency and time-to-production of your vision solutions. And because they serve as foundation models, their impact grows well beyond a single use case.
A 4-step LVM journey
LVMs have the potential to bring immense value to businesses. However, an estimated 75% of all industry AI prototypes fail to bring any value or insights for their companies. Reasons for this, in our experience, are very subtle.
We make sure our clients get the maximum value from LVMs by addressing and tackling these challenges in four concrete steps.
1
Finding the right use-case
It's easy to pick the wrong use case and end up with a prototype that never brings value in production. An even bigger risk is getting the wrong idea of what LVMs can do for you business. We leverage our experience and expertise to get this crucial first step right.
2
Setting up a strong baseline
Before custom tuning, we make sure we establish a strong baseline by testing and demoing the best currently available LVMs for your use case. The goal is to both confirm the potential of LVMs and clearly show the gap in performance we want to tackle with custom tuning.
3
Custom tuning your LVM
Depending on your use case and baseline LVM, our tuning methods and the need for your data will vary. From the least data-dependent postprocessing, through visual prompting and supervised fine-tuning, to the most data-intensive self-supervised pretraining.
4
Improving through updates
Real-world AI solutions are rarely static due to the ever evolving problems they tackle. Once your custom tuned LVMs are set up, we offer continuous improvements based on your feedback and newly acquired data, as well as updates from our technology.
A decade ago, supervised deep learning revolutionized how we build vision solutions. I believe today's Large Vision Models (LVMs) are driving yet another paradigm shift in computer vision, urging companies to strategically approach its adoption. In my years leading impactful AI teams and initiatives, I've directly experienced and tackled these challenges of adopting cutting-edge AI research to ultimately deliver client value.
This led me to found EIGENPIXEL, aiming to bridge the gap between the latest AI technology's immense potential and its industry application.
Once set up and updating on your data, LVMs have the power to radically advance your vision solutions. However, reaching this goal is going to take some well-executed steps, and I'm confident we can get you there with our expertise, experience, and technology.
Matija Ilijaš
A few words from the founder
Contact us without hesitation
We would be very interested in getting to know your specific domain and industry use case. Whether you're still exploring, or actively looking into adopting LVMs, feel free to reach out and let's jump on a call.