I will ai models for satellite and drone imagery

Turn your satellite, aerial, or drone imagery into decisions, not just maps.

I build and train deep learning models that extract real meaning from geospatial data: detecting objects, classifying crops and land cover, segmenting features, and monitoring change over time. From raw imagery to a validated, working model, I handle the full pipeline and hand you clean, documented code with clear accuracy metrics.

What I can do for you:

• Crop and land cover classification from Sentinel-2, Landsat, or drone imagery
• Object detection and image segmentation (buildings, fields, vegetation, infrastructure)
• Change detection and time-series analysis across a season or years
• Disease and anomaly detection from imagery, deployable as an API

Why me: I have built temporal crop-classification models, LiDAR pipelines, and a disease classifier served through a live web API. You get an engineer who understands both the remote sensing and the deep learning.

Message me before ordering so I can confirm scope and give you an accurate delivery time.