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How to Train a Deep Learning Model for Image Classification
First, we need some data lots of it! We can get this from various sources like websites or databases that have already labeled the…
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Building Extraction using YOLT2 and SpaceNet Data
This is a fancy way of saying we’re going to use some cool computer vision techniques to identify buildings in satellite images. First, let…
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OBB Detection for Remote Sensing Images
This fancy-sounding technique is actually pretty simple once you break it down. Essentially, we want to identify objects in satellite images that have an…
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A Comprehensive Review of Aerial Object Detection Techniques
This is important for all sorts of reasons, like monitoring traffic or keeping an eye on crops. But how do we actually make this…
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Rotated Object Detection in Aerial Images
So how do we go about detecting these rotated objects? Well, firstly, we need to train our model on some data this could be…
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Rotational Object Detection using Tensorflow
Basically, what this means is that we can now detect objects in images even if they are rotated or tilted at different angles. Before…
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Mask R-CNN for Object Detection in Satellite Imagery
This fancy algorithm is like a superhero that can spot objects from space, but without the cape or the tights (sorry, no capes allowed).…
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Mask R-CNN for Caravans
So how does it work exactly? Well, let’s break it down for you like you’re five years old (or maybe just really bad at…
