From d1ade3c55f1282b3506f0c2c51a64dfba19766a7 Mon Sep 17 00:00:00 2001 From: julia-groundlight Date: Fri, 11 Apr 2025 16:01:27 -0700 Subject: [PATCH] Update answer-modes.md with examples of modes Added images of examples of different modes - using puppies --- docs/docs/answer-modes/answer-modes.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/docs/answer-modes/answer-modes.md b/docs/docs/answer-modes/answer-modes.md index f817bda1..48cdb173 100644 --- a/docs/docs/answer-modes/answer-modes.md +++ b/docs/docs/answer-modes/answer-modes.md @@ -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. - \ No newline at end of file +