The article discusses how to extract geolocation data from images using Python, demonstrating the process through a USAID nutrition pack photo. It outlines the setup of the Python environment with libraries such as Pillow, ExifRead, and Folium. Readers learn to extract the EXIF metadata from the image, focusing on GPS coordinates. The article aims to not only guide through the technical steps but also provoke thought regarding the implications of such data capture, inviting readers to decide on the appropriateness of visualizing the location on a map.
In today's digital world, photographs capture not just memories, but also hidden data like geolocation, revealing precisely where each image was taken.
The article guides you through extracting GPS coordinates from images using Python, involving the use of libraries like Pillow, ExifRead, and Folium to process images and visualize data.
EXIF data contains not only the camera settings but also crucial metadata such as GPS coordinates, which can be extracted if available in the photo's file.
By following the steps outlined, readers will set up Python with the necessary libraries, extract EXIF information from images, and ultimately plot locations on an interactive map.
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