docs: add sample image download and sv.plot_image() to detect_and_annotate tutorial

[PatelPrem21]

…otate tutorial

Before submitting

• Self-reviewed the code
• Updated documentation, follow Google-style
• Added docs entry for autogeneration (if new functions/classes)
• Added/updated tests
• All tests pass locally

Description

New users following the tutorial had no image to test with and
didn't know sv.plot_image() existed. Added the official dog.jpeg
sample image download command and plot_image() call so the tutorial
is fully self-contained.

Closes #1830

Type of Change

• 🐛 Bug fix (non-breaking change which fixes an issue)
• ✨ New feature (non-breaking change which adds functionality)
• 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)
  -[X] 📝 Documentation update
• 🧪 Test update
• 🔨 Refactoring (no functional changes)
• ⚡ Performance improvement
• 🔧 Chore (dependencies, configs, etc.)

Motivation and Context

Closes #(issue)

Changes Made

Testing

• I have tested this code locally
• I have added unit tests that prove my fix is effective or that my feature works
• All new and existing tests pass

Google Colab (optional)

Colab link:

Screenshots/Videos (optional)

Additional Notes

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
1 out of 2 committers have signed the CLA.

✅ Borda
❌ prem23247
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[Borda]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.You have signed the CLA already but the status is still pending? Let us recheck it.

@PatelPrem21 ^^ could you pls sign it or share a print-screen that you already did? 🦝

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 78%. Comparing base (7e28315) to head (ed13d64).

Additional details and impacted files

@@           Coverage Diff           @@
##           develop   #2242   +/-   ##
=======================================
  Coverage       78%     78%           
=======================================
  Files           66      66           
  Lines         8374    8374           
=======================================
  Hits          6501    6501           
  Misses        1873    1873           

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[PatelPrem21]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.You have signed the CLA already but the status is still pending? Let us recheck it.

@PatelPrem21 ^^ could you pls sign it or share a print-screen that you already did? 🦝

Hey @Borda the CLA Link stuck and doesnt load anything how can i just agree to it??

[Borda]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.You have signed the CLA already but the status is still pending? Let us recheck it.

@PatelPrem21 ^^ could you pls sign it or share a print-screen that you already did? 🦝

Hey @Borda the CLA Link stuck and doesnt load anything how can i just agree to it??

Thank you 🦝

[Copilot]

Pull request overview

This PR updates the “Detect and Annotate” documentation tutorial to be self-contained for first-time users by providing a downloadable sample image and demonstrating sv.plot_image() for visualizing results (addressing #1830).

Changes:

• Added a “Sample Image” tip with a download command for dog.jpeg.
• Updated tutorial code snippets to use dog.jpeg as the input image path.
• Added a sv.plot_image(annotated_image) call in the segmentation example to show the annotated output.