Project - Ship Detection from Satellite Imagery using ML
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- Curriculum
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Embark on a transformative journey into the world of satellite imagery analysis with our comprehensive Udemy course, “Project – Ships Detection Using Satellite Imagery”. Designed for enthusiasts and professionals alike, this course demystifies the process of using cutting-edge machine learning techniques to identify and classify ships in satellite images. Whether you’re aiming to bolster your skills in computer vision, eager to dive into spatial data analysis, or looking to apply machine learning in new and exciting ways, this course provides the knowledge and hands-on experience you need.
Final Curriculum Overview:
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Module 1 – Introduction and Data Exploration: Start with the basics of the project, exploring the dataset, understanding the applications of machine learning in computer vision, and setting up your development environment.
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Module 2 – Run Length Encoding and Decoding: Dive into the specifics of Run Length Encoding (RLE), a critical technique for handling and interpreting satellite image data efficiently. Learn how to work with RLE encodings to create segmented masks for images.
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Module 3 – Data Preparation and Preprocessing: Master the art of preparing and preprocessing your data, covering everything from data augmentation to setting up parameters for model building and training.
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Module 4 – Image Segmentation using UNET: Delve into image segmentation with a focus on UNET, a powerful convolutional neural network architecture. Understand its components, build your own UNET model, and train it to detect ships in satellite imagery effectively.
Why Choose This Course?
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Hands-on Learning: Engage with practical exercises and real-world dataset to solidify your understanding and skills.
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Expert Instruction: Learn from an instructor with real-world experience in machine learning and computer vision.
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Future-Proof Skills: Gain knowledge that’s in demand in industries ranging from maritime navigation to environmental monitoring.
Start your journey towards becoming proficient in satellite imagery analysis with machine learning today. Whether you’re enhancing your skillset or pioneering new solutions, this course equips you with the knowledge and tools you need to succeed.
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1IntroductionVideo lesson
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2Module IntroVideo lesson
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3Dataset and Aim of the ProjectVideo lesson
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4Some Applications of Machine Learning in Computer VisionVideo lesson
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5Importing Libraries for the ProjectVideo lesson
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6Exploring the DatasetVideo lesson
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7Module OutroVideo lesson
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8Quiz 1Quiz
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9Module IntroVideo lesson
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10Run Length Encoding and DecodingVideo lesson
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11Explore the RLE encodings for our DatasetVideo lesson
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12Create a segmented mask from RLE encodingsVideo lesson
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13Create a Function that can convert given RLE encodings to MaskVideo lesson
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14Module OutroVideo lesson
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15Quiz 2Quiz
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16Module IntroVideo lesson
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17Initiating Train and Validation Data PreparationVideo lesson
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18Random Undersampling for Ships in the DatasetVideo lesson
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19Setting up Parameters for Model Building and TrainingVideo lesson
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20Build the Training and Validation DatasetVideo lesson
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21Data Augmentation for Images and MasksVideo lesson
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22Garbage CollectionVideo lesson
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23Module OutroVideo lesson
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24Quiz 3Quiz
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