Swimming Pool Detection and Classification with Deep Learning

Play an AI-generated podcast conversation about this lesson

What is one of the most important tasks in the field of Computer Vision?

Text recognition

Image enhancement

Object detection (correct)

Facial recognition

What is a challenge for machines in Computer Vision?

Generating 3D models from 2D images

Enhancing image resolution

Recognizing facial expressions

Locating a specific object in an image (correct)

What does the integration of the latest research in AI with ArcGIS open up?

Opportunities for speech recognition

Opportunities for social media analysis

Opportunities for weather prediction

Opportunities for feature identification and land cover classification (correct)

What was showcased at the plenary session in the Esri User Conference this year?

Detection of swimming pools using aerial imagery Signup and view all the answers

What is a common challenge in creating tax assessment rolls?

Reliance on infrequent and expensive planimetric mapping services Signup and view all the answers

Why are pools typically added to assessment records?

Because they impact the value of the property Signup and view all the answers

What do tax assessors at local government agencies have to rely on for creating tax assessment rolls?

Planimetric mapping services Signup and view all the answers

What type of imagery was used for the detection of swimming pools at the Esri User Conference?

Aerial imagery Signup and view all the answers

What kind of research has the field of Object Detection witnessed recently?

"Groundbreaking" research with state-of-the-art results Signup and view all the answers

What does the integration of the latest research in AI with ArcGIS open up opportunities for?

Feature identification and land cover classification Signup and view all the answers

What is the advantage of using just 3 bands in satellite imagery for training a model?

It allows for transfer learning and deployment on different satellites/sensors. Signup and view all the answers

Why was the initial model fine-tuned using RGB bands from NAIP imagery not successful?

The model overfit to the center position of swimming pools in the test results. Signup and view all the answers

Why did using NDVI (colorized) NAIP imagery not yield the expected results?

NDVI resulted in loss of information from one band, reducing the data available to the neural network. Signup and view all the answers

What advantage does the USA NAIP Imagery: Color Infrared offer over using RGB bands for detecting swimming pools?

It highlights swimming pools due to their cooler temperature compared to the surroundings. Signup and view all the answers

What issue was identified with the initial approach of chipping out images from the shapefile?

The coordinates selected were always at the center of the image, causing overfitting. Signup and view all the answers

What was the primary reason for introducing asymmetry when chipping out images?

To prevent overfitting of the model to specific object positions. Signup and view all the answers

Why were truncated bounding boxes included after initially being ignored?

To minimize the impact of missing swimming pools positioned on image edges. Signup and view all the answers

What is the primary purpose of using GIS and AI in the context of finding neglected pools?

To identify pools that are not on the assessment roll and may be breeding grounds for mosquitoes Signup and view all the answers

Why was it challenging to detect neglected pools in warmer climates using imagery?

The sheer volume of properties affected in warmer climates made detection challenging Signup and view all the answers

What dataset did the team struggle to find when searching for data on the Internet?

Labeled dataset for swimming pool detection using satellite imagery Signup and view all the answers

What is the main advantage of using ArcGIS Pro for labeling swimming pool locations?

Offers an easy-to-use interface to label data and advanced GIS functionality Signup and view all the answers

What did the team use to create labeled image chips needed to train a deep learning model?

ArcGIS API for Python Signup and view all the answers

What type of imagery was chosen for detecting pools due to its free availability throughout the US?

NAIP imagery Signup and view all the answers

Why did the team choose Nearmap imagery for classifying pools as clean or green?

It offers a high resolution and is collected frequently Signup and view all the answers

What is an important consideration for training deep learning models?

The resolution and spatial accuracy of the chosen imagery Signup and view all the answers

What type of optimizer was used for training the object detector?

Adam optimizer Signup and view all the answers

What did the team use as the base model for creating an object detection model?

Resnet-34 Signup and view all the answers

What is a common challenge in the field of Computer Vision?

Locating specific objects in an image Signup and view all the answers

What is the main advantage of integrating the latest research in AI with ArcGIS?

Enhancing land cover classification Signup and view all the answers

Why are pools typically added to assessment records?

Because they impact property value Signup and view all the answers

What was showcased at the plenary session in the Esri User Conference this year?

Detection of neglected pools using maps Signup and view all the answers

Why was it challenging to detect neglected pools using aerial imagery?

Neglected pools were not easily distinguishable Signup and view all the answers

What does the integration of the latest research in AI with ArcGIS open up opportunities for?

Feature identification and land cover classification Signup and view all the answers

Why did the team choose Nearmap imagery for classifying pools as clean or green?

It was free and available throughout the US Signup and view all the answers

What type of imagery was chosen for detecting pools due to its free availability throughout the US?

Aerial imagery Signup and view all the answers

What was the primary reason for introducing asymmetry when chipping out images?

To enhance the detection accuracy of pools Signup and view all the answers

What was the primary reason for introducing asymmetry when chipping out images?

To enhance the detection accuracy of pools Signup and view all the answers

What is the primary advantage of using NAIP imagery for detecting pools?

Higher resolution imagery available for free Signup and view all the answers

Why did the team label around 2,000 swimming pools in cities in Southern California?

To create a labeled dataset for training deep learning models Signup and view all the answers

What was the primary reason for using Resnet-34 as the base model for creating an object detection model?

It was pre-trained on over 1 million images of the ImageNet visual recognition challenge Signup and view all the answers

What challenge does the team face in finding neglected pools in warmer climates?

Sheer volume of properties affected in warmer climates Signup and view all the answers

What is the advantage of using Nearmap imagery for classifying pools as clean or green?

Higher resolution imagery collected more frequently Signup and view all the answers

Why did the team choose to use ArcGIS Pro for labeling swimming pool locations?

It provides an easy-to-use interface for labeling data and advanced GIS functionality Signup and view all the answers

What is an important consideration for training deep learning models?

Picking high-resolution and current satellite imagery Signup and view all the answers

Why did the team create a shapefile containing the labeled pool locations using ArcGIS Pro?

To export training data for deep learning models Signup and view all the answers

Why was SSD with Focal Loss architecture used for training the object detector?

It offered state-of-the-art models and efficient training with optimizations Signup and view all the answers

What type of optimizer was used for training the object detector?

Adam optimizer with one-cycle learning rate schedule Signup and view all the answers

Why did the team encounter a problem with the initial model fine-tuned using RGB bands from NAIP imagery?

The model overfit to the center position of the swimming pool in the test results Signup and view all the answers

What was the primary reason for introducing asymmetry when chipping out images?

To avoid overfitting the model to the center position of objects in the images Signup and view all the answers

Why did using NDVI (colorized) NAIP imagery not yield the expected results?

The NDVI imagery lacked information from one band, reducing the network's data input Signup and view all the answers

What advantage does the USA NAIP Imagery: Color Infrared offer over using RGB bands for detecting swimming pools?

It offers a different band combination which allows pools to stand out due to their cooler temperature Signup and view all the answers

What was showcased at the plenary session in the Esri User Conference this year?

The integration of AI with ArcGIS for object detection and analysis Signup and view all the answers

Why were truncated bounding boxes included after initially being ignored?

To ensure that swimming pools near edges were not missed during detection Signup and view all the answers

What dataset did the team struggle to find when searching for data on the Internet?

Labeled image chips needed to train a deep learning model Signup and view all the answers

What is a common challenge in creating tax assessment rolls?

Identifying and assessing neglected or unregistered properties Signup and view all the answers

What type of imagery was chosen for detecting pools due to its free availability throughout the US?

USA NAIP Imagery: Color Infrared Signup and view all the answers

What is the main advantage of using ArcGIS Pro for labeling swimming pool locations?

It allows efficient and accurate labeling of pool locations on satellite imagery Signup and view all the answers

Swimming Pool Detection and Classification with Deep Learning

Choose a study mode

Podcast

Questions and Answers

What is one of the most important tasks in the field of Computer Vision?

What is a challenge for machines in Computer Vision?

What does the integration of the latest research in AI with ArcGIS open up?

What was showcased at the plenary session in the Esri User Conference this year?

What is a common challenge in creating tax assessment rolls?

Why are pools typically added to assessment records?

What do tax assessors at local government agencies have to rely on for creating tax assessment rolls?

What type of imagery was used for the detection of swimming pools at the Esri User Conference?

What kind of research has the field of Object Detection witnessed recently?

What does the integration of the latest research in AI with ArcGIS open up opportunities for?

What is the advantage of using just 3 bands in satellite imagery for training a model?

Why was the initial model fine-tuned using RGB bands from NAIP imagery not successful?

Why did using NDVI (colorized) NAIP imagery not yield the expected results?

What advantage does the USA NAIP Imagery: Color Infrared offer over using RGB bands for detecting swimming pools?

What issue was identified with the initial approach of chipping out images from the shapefile?

What was the primary reason for introducing asymmetry when chipping out images?

Why were truncated bounding boxes included after initially being ignored?

What is the primary purpose of using GIS and AI in the context of finding neglected pools?

Why was it challenging to detect neglected pools in warmer climates using imagery?

What dataset did the team struggle to find when searching for data on the Internet?

What is the main advantage of using ArcGIS Pro for labeling swimming pool locations?

What did the team use to create labeled image chips needed to train a deep learning model?

What type of imagery was chosen for detecting pools due to its free availability throughout the US?

Why did the team choose Nearmap imagery for classifying pools as clean or green?

What is an important consideration for training deep learning models?

What type of optimizer was used for training the object detector?

What did the team use as the base model for creating an object detection model?

What is a common challenge in the field of Computer Vision?

What is the main advantage of integrating the latest research in AI with ArcGIS?

Why are pools typically added to assessment records?

What was showcased at the plenary session in the Esri User Conference this year?

Why was it challenging to detect neglected pools using aerial imagery?

What does the integration of the latest research in AI with ArcGIS open up opportunities for?

Why did the team choose Nearmap imagery for classifying pools as clean or green?

What type of imagery was chosen for detecting pools due to its free availability throughout the US?

What was the primary reason for introducing asymmetry when chipping out images?

What was the primary reason for introducing asymmetry when chipping out images?

What is the primary advantage of using NAIP imagery for detecting pools?

Why did the team label around 2,000 swimming pools in cities in Southern California?

What was the primary reason for using Resnet-34 as the base model for creating an object detection model?

What challenge does the team face in finding neglected pools in warmer climates?

What is the advantage of using Nearmap imagery for classifying pools as clean or green?

Why did the team choose to use ArcGIS Pro for labeling swimming pool locations?

What is an important consideration for training deep learning models?

Why did the team create a shapefile containing the labeled pool locations using ArcGIS Pro?

Why was SSD with Focal Loss architecture used for training the object detector?

What type of optimizer was used for training the object detector?

Why did the team encounter a problem with the initial model fine-tuned using RGB bands from NAIP imagery?

What was the primary reason for introducing asymmetry when chipping out images?

Why did using NDVI (colorized) NAIP imagery not yield the expected results?

What advantage does the USA NAIP Imagery: Color Infrared offer over using RGB bands for detecting swimming pools?

What was showcased at the plenary session in the Esri User Conference this year?

Why were truncated bounding boxes included after initially being ignored?

What dataset did the team struggle to find when searching for data on the Internet?

What is a common challenge in creating tax assessment rolls?

What type of imagery was chosen for detecting pools due to its free availability throughout the US?

What is the main advantage of using ArcGIS Pro for labeling swimming pool locations?

More Like This

Object Detection and Classification

Deep Learning II - RetinaNet Architecture

Deep Learning Object Detection Concepts