app
Anomalia
AI-powered image analysis to detect anomalies and defects — no training required.
Upload your own images and explore how modern vision-language models identify unusual patterns in real-world scenarios.
Overview
About Anomalia
Anomalia is an AI-powered image analysis application that demonstrates how modern vision-language models (VLMs) can detect anomalies in images — often without task-specific training.
Originally developed as part of applied research collaborations at Mila, the project was inspired by real-world challenges in infrastructure inspection, where anomalies are rare, diverse, and difficult to model using traditional supervised approaches.
From research to demo
In collaboration with Hydro-Québec, Mila researchers explored how to detect defects in power line infrastructure using AI. One key insight emerged:
Recent vision-language models can identify anomalies out of the box — even in domains they were not trained on.
These models were able to:
- Detect subtle defects (scratches, broken strands, contamination)
- Generalize across different cable types and conditions
- Perform competitively with little to no labeled training data
Anomalia was created to make this capability tangible — allowing users to upload their own images and explore how far these models can go in real-world scenarios.
What Anomalia demonstrates
Rather than being a production system, Anomalia is a hands-on exploration tool designed to showcase key capabilities of modern AI:
- Zero-shot anomaly detection — identify unusual patterns without prior domain-specific training
- Natural language + vision reasoning — models interpret images using general world knowledge
- Bounding box localization — highlight and describe potential defects or regions of interest
- Baseline comparison workflows — compare against "normal" images to improve signal detection
Why it matters
Many industrial and operational contexts share the same constraints:
- Anomalies are rare
- Data is limited or expensive to label
- Conditions vary widely
Anomalia explores a different paradigm — where general-purpose AI models reduce the need for specialized datasets, enabling faster prototyping and broader applicability.
A MilaHub project
Anomalia is part of MilaHub, a platform for showcasing applied AI systems and experiments. It is designed to:
- Demonstrate real capabilities (not mockups)
- Encourage exploration and experimentation
- Bridge research insights with practical applications
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