Samples

Street View Insights can help you analyze imagery datasets using Vertex AI Colab Enterprise. The following examples showcase various capabilities.

Environment setup

These modules are designed to be run in Vertex AI Colab Enterprise. Follow the instructions below to import the tutorial notebooks into your environment:
  1. Import Notebook: In Colab Enterprise, select File > Import notebook and choose the "By URI" option.
  2. Copy & Paste: Copy the Import URI provided within each module card below and paste it into the import dialog.
  3. Rename File (Recommended): To avoid conflicts, consider renaming the imported notebook file, for example by appending your username to the start of the filename (e.g., {USERNAME}_filename.ipynb).

Basic modules

These modules cover the fundamental workflows for getting started with Street View Insights.
Introductory notebook to explore and visualize the imagery dataset structure and associated metadata. Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/Understand_your_dataset/Understand_your_dataset.ipynb
View on GitHub
Core analysis workflows for identifying and categorizing utility poles based on their visual features. Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/Utility_pole_analysis/utility_pole_basic_analysis.ipynb
View on GitHub
Classify road signs found in imagery, such as Stop, Yield, and Speed Limit signs. Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/classify_road_signs/classify_road_signs.ipynb
View on GitHub

Advanced modules

These modules cover more complex analyses and techniques, including AI-powered features like few-shot learning and code execution.
Detect objects in images by training a model on just a few examples—ideal for identifying rare or custom objects.

See: Few-Shot Examples

Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/Object_detection_with_few_shot_learning/Object_detection_with_few_shot_learning.ipynb
View on GitHub
Bounding box (bbox) detection for various pole attachments, such as transformers, crossarms, and insulators.

See: Bounding Box Detection

Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/bbox_detection_of_attachments/bbox_detection_of_attachments.ipynb
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Advanced analysis to calculate the lean angle of poles from imagery, which can be used to assess pole stability.

See: Code Execution

Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/Lean_angle_detection_of_pole/Utility_pole_lean_angle_detection.ipynb
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Measure the height of utility poles from imagery using object detection and geometric analysis.

See: Structure Prompts

Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/Utility_pole_measure_height/Utility_pole_measure_height.ipynb
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Evaluate model performance and analysis results using industry-standard computer vision metrics.

See: Configure Judge Model

Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/eval/eval.ipynb
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Assess image quality based on factors like blur and lighting to ensure suitability for computer vision tasks.

See: Code Execution

Import URI: 
https://github.com/googlemaps-samples/insights-samples/blob/main/street_view_insights/notebooks/Image_quality_analysis/Image_quality_analysis.ipynb
View on GitHub

Support

These Street View Insights code samples are offered under open source licenses. They are not governed by the Google Maps Platform Support Technical Support Services Guidelines, the SLA, or the Deprecation Policy (however, any Google Maps Platform services used by the libraries remain subject to the Google Maps Platform Terms of Service).

If you find a bug, or have a feature request, file an issue on GitHub. If you would like to get answers to technical questions from other Google Maps Platform developers, ask through one of our developer community channels. If you'd like to contribute, check the contributing guides in the library's repository.