New YOLO Model Update – More Reliable, More Precise! ![:dart: :dart:](https://discourse-cdn.eroscripts.com/images/emoji/twitter/dart.png?v=12)
@spatialflux and I are thrilled to announce a major upgrade to our YOLO detection model, bringing better stability, and more reliable tracking across all classes!
What’s New?
More Stable Training – We extended training with more epochs and a lower learning rate, ensuring the model learns deeper patterns without overfitting.
Enhanced Object Recognition – We tweaked multiple hyperparameters and switched to a new optimizer, making the model much better at detecting less common objects.
Smarter Fine-Tuning – We ran a dedicated fine-tuning phase without mosaic or scale augmentation, helping the model handle real-world cases more effectively.
Key Improvements:
Flicker Ratio Reduced – Smoother, more consistent tracking with fewer ID switches.
Better Track Stability – Fewer unique track IDs = more reliable object persistence across frames.
Increased Detection Performance – Higher accuracy in recognizing faces, hands, and key body parts.
This update is a huge step forward in model reliability and brings us closer to seamless, flicker-free tracking! ![:fire: :fire:](https://discourse-cdn.eroscripts.com/images/emoji/twitter/fire.png?v=12)
In the attached screenshot, left side being the new model, you can expect improvements also on BJ scenes with better face detection and tracking!
As usual, download the models from the #resources from the discord, place them in your “models” folder, and don’t forget to change the model you are using via the Settings Panel !
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