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Object Detection in Satellite Imagery: A Comprehensive Guide
So how does it work? Well, first we need to train our computer model using some fancy algorithms and data (like the kind found…
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Optimizing Object Detection in Aerial Imagery
That’s where optimization comes in! So let’s say you have this massive dataset of aerial images, but not all of them have labels for…
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Object Detection on Satellite Imagery using RetinaNet (Part 1: Training)
Use examples when they help make things clearer. Original Query: “Object Detection on Satellite Imagery using RetinaNet (Part 1: Training)” RetinaNet is a popular…
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Deep Learning for Aircraft Recognition
Here’s the basic process: first, we feed our computer a bunch of images of airplanes (called “training data”). The computer then looks at these…
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Vehicle Detection and Counting in Low Resolution Aerial Images
Basically, what we’re doing here is using some fancy algorithms to look at pictures taken from drones (or planes or satellites) and figure out…
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Ship Detection in Remote Sensing Images Using Tensorflow Object Detection API
In this context, we will explore some examples of how these techniques have been applied to ship detection and economic activity classification in satellite…
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Ship Detection in Remote Sensing Images Using Deep Learning
Use examples when they help make things clearer. Alright! this fancy “Ship Detection in Remote Sensing Images Using Deep Learning” thingamajiggy! Basically, what we’re…
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Satellite Ship Detection Techniques
This is a fancy way of saying we can figure out if there are boats floating around in the ocean that have satellites on…
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Ship Detection using Keras and Planet Dataset
Basically, what we have here is a machine learning model that can look at satellite images from space and tell us if there are…
