Hugging Face Adds D-Fine Model for Lightning-Fast Object Detection

• D-Fine brings state-of-the-art real-time object detection to Hugging Face with five model sizes and robust pretrained variants.
• Released under Apache 2.0, it’s free to use for both research and commercial projects.

D-Fine, a new real-time object detection model family, has been integrated into the Hugging Face Transformers library. Contributed by Vladislav Bronzov, the model is engineered for speed and accuracy, making it a powerful tool for spatial computing applications that require quick, reliable perception of the physical world.

The model suite comes in five sizes—nano to xlarge—supporting a range of performance needs and device constraints. Pretrained checkpoints span COCO, Objects365, and hybrid training for better generalization. This flexibility enables developers to balance latency and accuracy without compromising on capability.

Because D-Fine is released under the permissive Apache 2.0 license, it can be freely adopted across both commercial products and academic research. Its inclusion in Transformers lowers the barrier for developers building systems that need real-time awareness of their surroundings.

🌀 Tom's Take:

D-Fine is object detection done right — fast, open, and flexible. Hugging Face just made it radically easier to bring computer vision into real-time, real-world applications.

Source: LinkedIn – Pavel Iakubovskii