🛰️

AI Model Training in Progress

TRAINING PHASE

Our advanced solar panel detection model is currently being trained on a massive dataset of satellite and aerial imagery to achieve industry-leading accuracy in solar infrastructure detection.

Training Progress

68%
50,000+
Satellite Images
2.5M
Solar Panels
97.3%
Target Accuracy
~72h
Time Remaining

The model is being trained on diverse satellite imagery from multiple sources including Sentinel-2, Landsat, and high-resolution commercial satellites. It will detect solar panels across residential, commercial, and utility-scale installations.

YOLOv8 PyTorch Satellite Imagery Transfer Learning GPU Training