Fraime Gets Smarter with New AI Models

In line with our commitment to providing the best service, we are delighted to announce that Saiwa has added four advanced and powerful AI algorithms to the Fraime platform, offering our users faster performance, greater accuracy, and enhanced image understanding.

We’ve upgraded several key services on the Fraime platform with four new state-of-the-art algorithms: YOLO11 and RTMDet have been added to enhance our Object Detection and Object Counting services with higher accuracy and faster performance; LaMa now impowers our Image Inpainting service for more natural and realistic object removal; and ViTPose strengthens our Pose Estimation service with significantly improved precision in understanding human body positions.

Object Detection and Counting

Fraime’s Object Detection and Counting services are now smarter and faster than ever. With the addition of YOLO11 and RTMDet, the service can detect small and hidden objects more accurately while processing images and video streams at high speed. This upgrade ensures sharper results, smoother processing, and real-time insights for applications like video monitoring, drones, or industrial automation.

YOLO11 sees small and hidden objects more accurately than previous generations while running even faster. In simple terms:

• Sees small and hidden objects better than older YOLO versions.
• Makes fewer mistakes, especially in busy or unclear images.
• Runs faster, which means our platform can process more images in less time.
• Does more things at once (detecting, segmenting, counting) without slowing down.

RTMDet provides a strong balance between speed and accuracy. For users working with video streams, drones, or factory monitoring, RTMDet delivers reliable performance without sacrificing detection quality.

• High efficiency — suitable for many real-time and high-throughput scenarios.
• Maintains strong accuracy even at higher processing speeds.
• Offers a good trade-off between detection precision and processing speed.

Image Inpainting

Our Image Inpainting service has been enhanced with LaMa, enabling more natural and realistic removal of unwanted objects or repairs of damaged images. Even large missing areas and high-resolution images are now filled seamlessly, making visual editing tasks faster and more reliable.

• It is much better at filling big missing areas — older methods failed or looked blurry.
• The filled areas look more natural and match the surrounding image.

Pose Estimation

The Pose Estimation service is now powered by ViTPose, providing more precise and detailed analysis of human body positions. Whether it’s for fitness tracking, workplace safety, or motion monitoring, users can rely on improved accuracy and a better understanding of complex poses.

ViTPose analyzes human body positions (like where arms, legs, and joints are) with higher accuracy. Whether for fitness, safety, or motion tracking applications, users can now expect more reliable and detailed pose understanding.

• It detects human poses more precisely, even if the person is partially turned or partially hidden.
• It understands complex poses better than earlier models.
• It adapts well to different image types — gym videos, workplaces, sports, etc.

Conclusion

At Saiwa, our mission is to make advanced AI accessible, practical, and impactful for businesses across industries. By continuously updating Fraime with cutting-edge algorithms like YOLO11, RTMDet, LaMa, and ViTPose, we strive to deliver smarter, faster, and more accurate AI services. These new algorithms strengthen Fraime’s capabilities — giving businesses faster, smarter, and more accurate AI services across detection, counting, inpainting, and pose estimation.