/Object_Detection_from_Satellite_Imagery_Data

Object Detection from Satellite Imagery Data using Faster RCNN, YOLO and RetinaNet.

Primary LanguageJupyter Notebook

Object Detection from Satellite Imagery Data

Dataset

Satellite Imagery Multi-vehicles Dataset (SIMD). It comprises 5,000 images of resolution 1024 x 768 and collectively contains 45,303 objects in 15 different classes of vehicles including cars, trucks, buses, long vehicles, various types of aircrafts and boats. The source images are taken from public satellite imagery available in Google Earth and contain images of multiple locations from seven countries.