Case study · Artificial Intelligence
YOLO Satellite Image Processing Platform
A platform for automatic building detection in satellite imagery with YOLO, from model training to processing and a progress dashboard.
95%
Detection accuracy
Fast
Image processing
100+
Models trained
Guided
Training workflow
Challenge
Requirements were precise building detection in satellite imagery, user-driven custom model training, and heavy processing that does not degrade system performance.
Approach
A Full-Stack platform was built with Django and Vue, featuring staged model training, asynchronous processing with Celery, and a progress-monitoring dashboard.
Our role
01
Architecture Design
Defined the frontend, backend, and image-processing queue structure.
02
Model Development
Implemented YOLO models and the custom training path.
03
Integration
Connected frontend, backend, and asynchronous processing into one system.
TechnologiesDjangoVue.jsYOLOCeleryRedisMySQL
