AI Trainer
ImageBounding Box
This project involves creating a labeled dataset of satellite and aerial images using bounding box annotations to train an AI model for detecting and classifying geographic features. The goal is to enable automated identification of spatial elements such as buildings, roads, water bodies, and land-use patterns.
This project involves creating a labeled dataset of satellite and aerial images using bounding box annotations to train an AI model for detecting and classifying geographic features. The goal is to enable automated identification of spatial elements such as buildings, roads, water bodies, and land-use patterns.
2025 - Present