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Prezent turns to Ultralytics YOLO models to detect slide elements

Problem

Prezent needed a Vision AI solution to automatically detect slide structures because traditional tools were slow, unreliable, and often failed to preserve the design.

Solution

With Ultralytics YOLO models, Prezent improved accuracy from 65% to 87%, cut training time from 3 days to 1, and reduced slide processing to under 10 seconds.

Presentations are key for clear communication in business meetings, but redesigning them to be both impactful and informative can be challenging. Prezent uses AI to detect and understand slide elements like titles, text, images, and charts, ensuring redesigned slides remain clear, visually engaging, and easy to follow.

When testing various tools for slide element detection, Prezent found that many disrupted layouts and information hierarchies, making presentations less cohesive. By integrating Ultralytics YOLO models, Prezent streamlines the process, making slide element detection faster, smoother, and more professional with minimal effort.

Making slide redesign faster and smarter with AI

Prezent helps C-suite executives and business teams create clear, professional presentations by automating the redesign process. Originally, this relied on manual templates and human effort, which was slow and inefficient. 

To improve efficiency, Prezent turned to AI and computer vision to automate slide formatting while preserving the original layout. By using object detection models, their platform can now automatically detect and organize slide content for a faster, more seamless redesign process with minimal user input. By doing so, Prezent makes sure that presentations remain clear, visually appealing, and easy to follow.

The hurdle in AI-powered slide redesign

A great presentation isn’t just about information - it’s about clarity, structure, and impact. However, manually redesigning slides to make them more engaging takes time and effort. For C-suite executives and business teams, who frequently rely on presentations for meetings, the slow and frustrating redesign process was a major challenge.

Prezent set out to automate slide redesign, but there was a key obstacle - how do you detect and reorganize slide elements while keeping everything in place? Traditional tools could extract text but failed to recognize how titles, images, and charts were arranged, often disrupting the layout.

Initially, Prezent used open-source object detection models, but these methods had limitations: low accuracy (60-65%), slow processing times, and layouts that still needed manual fixes. To truly automate the process, Prezent needed a faster, smarter Vision AI solution that could accurately detect slide elements and redesign them without compromising structure. That’s when they turned to computer vision and AI to make the process seamless.

Prezent’s vision AI solution for slide element detection

To automate slide redesign while keeping layouts intact, Prezent integrated Ultralytics YOLO models into its platform. Ultralytics YOLO models support various computer vision tasks, including object detection. Slides are converted into images, and YOLO detects key elements - titles, text boxes, images, and charts - while keeping the original layout intact. 

YOLO plays a crucial role in layout extraction, helping Prezent preserve the structure and hierarchy of each slide while enabling fast, automated redesigns. By recognizing both text and visual elements, YOLO helps make sure that presentations maintain both their functionality and polished design. With high accuracy and fast processing, YOLO empowers Prezent to automate slide element detection, reducing the need for manual adjustments.

Why choose Ultralytics YOLO models?

Prezent chose Ultralytics YOLO models because they can be trained faster, they are more accurate, and have lower latency compared to other Vision AI models. Prezent found that most models took two to three days to train, slowing down iterations and improvements. 

"Normally, training a machine learning model takes a huge amount of time, and you often have to wait two to three days for the inference and then decide if the accuracy is good enough. But with YOLO, we can train the model in a single day, make decisions quickly, and rapidly learn from the results," says the Principal Data Scientist at Prezent.

With YOLO, Prezent’s accuracy increased from 65% to 87% and was able to quickly refine models and enhance performance. Also, YOLO’s fast inference speeds enable slide processing in under 10 seconds, guaranteeing real-time automation and a seamless user experience. By integrating YOLO, Prezent found a reliable, scalable solution for efficient and accurate slide redesign.

Processing slides in under 10 seconds with YOLO

By harnessing Ultralytics YOLO models, Prezent redefined its slide redesign process to be faster, more efficient, and highly accurate. The ability to automatically detect and organize slide elements ensured that presentations maintained their original structure, clarity, and visual appeal without manual intervention.

"Using Ultralytics YOLO, the processing speed is also superior as we can provide our customers with fully processed slides in under 10 seconds. The rapid training time and low latency have been key to streamlining our workflow and improving the quality of our redesigns," shared the Principal Data Scientist at Prezent.

With YOLO’s real-time processing capabilities, Prezent was able to fully automate slide layout detection, eliminating the inefficiencies of manual redesign. C-suite executives and business teams can generate polished, professional presentations instantly, improving workflow efficiency and user experience. By integrating computer vision and AI, Prezent has built a scalable and automated solution that enhances both productivity and presentation quality.

The road ahead for computer vision in document analysis

Prezent would like to see computer vision models improve in their ability to handle more complex layouts and provide deeper insights into document structures. This would enable more refined and accurate slide redesigns.

One potential improvement is the ability to group related elements into subcategories. Such insights would help Vision AI models understand the hierarchy and relationships between slide components. As a result, redesigned slides would be better structured, visually cohesive, and easier to follow.

Overall, Prezent believes that as the demand for automation and AI-driven solutions increases, computer vision models will continue to evolve to handle more complex tasks with greater accuracy and speed. 

Curious how Vision AI can improve your business? Visit our GitHub repository to check out Ultralytics' AI solutions for different industries, like computer vision in healthcare and manufacturing. Discover how our YOLO models and license options can help you get started today!

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Frequently asked questions

What are Ultralytics YOLO models?

Ultralytics YOLO models are computer vision architectures developed to analyze visual data from images and video inputs. These models can be trained for tasks including Object detection, classification, pose estimation, tracking and instance segmentation.Ultralytics YOLO models include:

  • Ultralytics YOLOv5
  • Ultralytics YOLOv8
  • Ultralytics YOLO11

What is the difference between Ultralytics YOLO models?

Ultralytics YOLO11 is the latest version of our Computer Vision models. Just like its previous versions, it supports all computer vision tasks that the Vision AI community has come to love about YOLOv8. The new YOLO11, however, comes with greater performance and accuracy, making it a powerful tool and the perfect ally for real-world industry challenges.

Which Ultralytics YOLO model should I choose for my project?

The model you choose to use depends on your specific project requirements. It's key to take into account factors like performance, accuracy, and deployment needs. Here's a quick overview:

  • Some of Ultralytics YOLOv8's key features:
  1. Maturity and Stability: YOLOv8 is a proven, stable framework with extensive documentation and compatibility with earlier YOLO versions, making it ideal for integrating into existing workflows.
  2. Ease of Use: With its beginner-friendly setup and straightforward installation, YOLOv8 is perfect for teams of all skill levels.
  3. Cost-Effectiveness: It requires fewer computational resources, making it a great option for budget-conscious projects.
  • Some of Ultralytics YOLO11's key features:
  1. Higher Accuracy: YOLO11 outperforms YOLOv8 in benchmarks, achieving better accuracy with fewer parameters.
  2. Advanced Features: It supports cutting-edge tasks like pose estimation, object tracking, and oriented bounding boxes (OBB), offering unmatched versatility.
  3. Real-Time Efficiency: Optimized for real-time applications, YOLO11 delivers faster inference times and excels on edge devices and latency-sensitive tasks.
  4. Adaptability: With broad hardware compatibility, YOLO11 is well-suited for deployment across edge devices, cloud platforms, and NVIDIA GPUs

What license do i need?

Ultralytics YOLO repositories, such as YOLOv5 and YOLO11, are distributed under the AGPL-3.0 License by default. This OSI-approved license is designed for students, researchers, and enthusiasts, promoting open collaboration and requiring that any software using AGPL-3.0 components also be open-sourced. While this ensures transparency and fosters innovation, it may not align with commercial use cases.
If your project involves embedding Ultralytics software and AI models into commercial products or services and you wish to bypass the open-source requirements of AGPL-3.0, an Enterprise License is ideal.

Benefits of the Enterprise License include:

  • Commercial Flexibility: Modify and embed Ultralytics YOLO source code and models into proprietary products without adhering to the AGPL-3.0 requirement to open-source your project.
  • Proprietary Development: Gain full freedom to develop and distribute commercial applications that include Ultralytics YOLO code and models.

To ensure seamless integration and avoid AGPL-3.0 constraints, request an Ultralytics Enterprise License using the form provided. Our team will assist you in tailoring the license to your specific needs.

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