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You're reading from  Deep Learning for Computer Vision

Product typeBook
Published inJan 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295628
Edition1st Edition
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Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani

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Segmenting satellite images


In this section, we will use a dataset provided by the International Society for Photogrammetry and Remote Sensing (ISPRS). The dataset contains satellite images of Potsdam, Germany with 5 cm resolution. These images come with an additional data of infrared and height contours of the images. There are six labels associated with the images, which are:

  • Building
  • Vegetation
  • Trees
  • Cabs
  • Clutter
  • Impervious

A total of 38 images are provided with 6,000 x 6,000 patches. Please go to the page, http://www2.isprs.org/commissions/comm3/wg4/data-request-form2.html and fill in the form. After that, select the following options on the form:

Post the form, an email will be sent to you, from which the data can be downloaded.

Modeling FCN for segmentation

Import the libraries and get the shape of the input. The number of labels is defined as 6:

from .resnet50 import ResNet50
nb_labels = 6

img_height, img_width, _ = input_shape
input_tensor = tf.keras.layers.Input(shape=input_shape)
weights...
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Deep Learning for Computer Vision
Published in: Jan 2018Publisher: PacktISBN-13: 9781788295628

Author (1)

author image
Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani