ICI Innolabs at NeurIPS 2025: Advancing Fairness in AI Face Detection

We’re proud to announce that the ICI Innolabs team achieved 9th place in the NeurIPS 2025 Competition on Fairness in AI Face Detection — a global challenge focused on building accurate and equitable AI systems for face detection.

This competition, part of the NeurIPS (Conference on Neural Information Processing Systems) — one of the world’s leading venues in artificial intelligence and machine learning — brought together 162 registered participants and over 2,100 submissions from top research groups worldwide.

🏆 Our Results

• 9th overall ranking in the competition
• Highest detection accuracy among all participants: 0.78, surpassing the next best 0.67
• Invited presentation at the NeurIPS 2025 AI-Face Workshop
• Co-authorship invitation for the official NeurIPS 2025 competition summary paper

These results confirm ICI Innolabs’ state-of-the-art capabilities in designing fair, reliable, and high-performing AI systems that generalize across demographic groups — a key challenge for responsible AI.

🔬 Our Technical Approach

Our pipeline combined lightweight architectures for efficiency with large-scale backbones for robustness. It includes:

• MobileNetV2-based models trained with adaptive augmentation pipelines (YCbCr, Gaussian noise)
• A CLIP-L/14-based Effort detector used for the final submission ensemble
• Integrated AIM experiment tracking, ensuring reproducibility and transparent metrics

We’re releasing our full training and inference pipeline on our github repo.