Skip to content

Update answer-modes.md with examples of modes #349

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
tyler-romero merged 2 commits into from
Apr 14, 2025
Merged

Update answer-modes.md with examples of modes #349

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d1ade3c
Update answer-modes.md with examples of modes
julia-groundlight Apr 11, 2025
6f25c93
Merge branch 'main' into julia-groundlight-patch-1
Apr 14, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion docs/docs/answer-modes/answer-modes.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,10 +1,11 @@
# Detector Answer Modes

Groundlight offers several detector modalities to suit different computer vision tasks. While previous examples have focused on binary classification, this guide will walk you through using counting and multi-class detectors. Let's explore how these different modes can be used via the Groundlight SDK.
![Examples of Computer Vision Answer Modes](https://cdn.prod.website-files.com/664b7cc2ac49aeb2da6ef0f4/67f99ecc0c0e8843cb706dd0_Examples_of_Computer_Vision_Answer_Modes.png)

- **[Binary Detectors](1-binary-detectors.md)**: Learn how to create detectors that answer yes/no questions about images.
- **[Multiple Choice (Choose One) Detectors](2-multi-choice-detectors.md)**: Create detectors that select one answer from a predefined list of options.
- **[Count Detectors](3-counting-detectors.md)**: Use detectors to count the number of objects present in an image - and return bounding boxes around the counted objects.
<!-- 4. [Text Recognition Detectors](4-text-recognition-detectors.md) -->

<!-- TODO: object detection modes -->
<!-- TODO: object detection modes -->
Loading