赋能创新者，加速视觉 AI 落地

Macks is a visual AI platform for B2B product brands like lighting and furniture, aiming to cut content creation costs via automated workflows. Integrating the DINO-X API into our segmentation pipeline has significantly improved user experience, making workflows more intuitive and interactive.

We make product visualization software for interior design and furniture users, using DINO-X for object detection. I have tested many models for this use case and settled on DINO-X because it offers unparalleled recall, precision, and robustness.

DINO-X delivers exceptional accuracy on rare and long-tailed objects, which is critical for enabling foundation models to move from research into real applications.

Visual grounding is a core component of our GUI agent projects. We found that Grounding DINO 1.6 performed exceptionally well on this task, even outperforming some models specifically designed for it.

Muda is built on personalization to ensure every outfit recommendation feels tailored to each individual’s body and style. Dino-X makes accurate clothing detection and segmentation possible for virtual try-on.

Our product creates practical AI textile image generation for designers, using DINO-X to extract objects from images and feed a fine-tuned model for accurate designs.

I am building a pipeline that uses Grounding DINO to create an AI assistant that can see anything and do anything.

DINO-X is a great model. Without it, I would have to do a lot more with less competitive models and couldn't achieve such a remarkable result.