Article
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MMS
MMSDuality
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AI & ML interests
Computer Vision and Synthetic Data
Recent Activity
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We released a new competition! https://www.kaggle.com/competitions/grocery-items-multi-class-object-detection/overview
Join to:
đź’ˇ Learn from others
🤔 Develop your Sim2Real skills using simulation
📸 Generate custom data on the cloud to improve your model
✨ and more!
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Can AI models trained solely on 100% synthetic data achieve top-tier accuracy in real-world object detection?
👉 @sergio-sanz-rodriguez just proved it while winning Duality AI’s Synthetic-to-Real Object Detection Challenge using Falcon-generated imagery. His model achieved perfect real-world detection accuracy without a single real image in the training loop.
In this blog, Dr. Sanz walks us through his method, which includes the design and training of an advanced pipeline to achieve 100% detection accuracy.
His full technical breakdown covers:
đź“Ť Synthetic-only training
đź“Ť Data augmentation with an ensemble learning approach for better generalization
đź“Ť Custom occlusion generation
đź“Ť A Faster R-CNN model fine-tuned with Falcon generated data
đź“Ť And much more!
The results speak for themselves!
đź“– Read the blog here: https://www.duality.ai/blog/leveraging-synthetic-data-for-real-world-object-detection
Congratulations Sergio! We can't wait to see what you do next.
🔔 Ready to take on the next Synthetic-to-Real challenge? The third edition of our Kaggle competition—Multi-Instance Object Detection Challenge—is now live: https://www.kaggle.com/competitions/multi-instance-object-detection-challenge
reacted
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DualityAI-RebekahBogdanoff's
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16 days ago
Can AI models trained solely on 100% synthetic data achieve top-tier accuracy in real-world object detection?
👉 @sergio-sanz-rodriguez just proved it while winning Duality AI’s Synthetic-to-Real Object Detection Challenge using Falcon-generated imagery. His model achieved perfect real-world detection accuracy without a single real image in the training loop.
In this blog, Dr. Sanz walks us through his method, which includes the design and training of an advanced pipeline to achieve 100% detection accuracy.
His full technical breakdown covers:
đź“Ť Synthetic-only training
đź“Ť Data augmentation with an ensemble learning approach for better generalization
đź“Ť Custom occlusion generation
đź“Ť A Faster R-CNN model fine-tuned with Falcon generated data
đź“Ť And much more!
The results speak for themselves!
đź“– Read the blog here: https://www.duality.ai/blog/leveraging-synthetic-data-for-real-world-object-detection
Congratulations Sergio! We can't wait to see what you do next.
🔔 Ready to take on the next Synthetic-to-Real challenge? The third edition of our Kaggle competition—Multi-Instance Object Detection Challenge—is now live: https://www.kaggle.com/competitions/multi-instance-object-detection-challenge
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