Military Vehicle Recognition with AI
3-day hackathon — training a ResNet18 model for vehicle recognition and exploring military applications of computer vision.
Business Context
The French Ministry of Armed Forces organized an AI hackathon to explore how deep learning could enhance military intelligence capabilities, specifically in vehicle identification.
Strategic Problem
How to create a model using ResNet18 pretrained weights to recognize vehicle types, and identify how this class of algorithms could serve Ministry of Armed Forces use cases?
Data Sources
Vehicle image datasets, ResNet18 pretrained weights, military application scenario requirements.
Methodology
Imported ResNet18 architecture with pretrained weights. Fine-tuned the model on vehicle recognition tasks. Evaluated accuracy and explored transfer learning potential for military-specific applications.
Key Results
Built a functional vehicle recognition model. Presented viable military applications of computer vision. Reached finalist stage.
Business Impact
Demonstrated practical AI applicability for defense scenarios. Hands-on experience with transfer learning and real-time classification systems.