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‎docs/docs/guide/5-detector-modalities.md ‎docs/docs/guide/5-detector-modes.md

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# Detector Answer Modalities
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Groundlight supports a variety of answer modalities. Thus far, all of the examples we have provided are for binary classification detectors. However, Groundlight also supports counting, multi-class, and object detection, text detectors.
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# Detector Answer Modes
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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.
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## Counting Detectors
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‎docs/docs/guide/guide.md

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- **[Grabbing images](2-grabbing-images.md)**: Understand the intricacies of how to submit images from various input sources to Groundlight.
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- **[Working with detectors](3-working-with-detectors.md)**: Learn how to create, configure, and use detectors in your Groundlight-powered applications.
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- **[Submitting image queries](4-submitting-image-queries.md)**: Submit images to Groundlight for analysis and retrieve the results.
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- **[Detector answer modalities](5-detector-modalities.md)**: Answer counting and multi-classification queries with Groundlight.
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- **[Detector answer modes](5-detector-modes.md)**: Answer counting and multi-classification queries with Groundlight.
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- **[Confidence levels](6-managing-confidence.md)**: Master how to control the trade-off of latency against accuracy by configuring the desired confidence level for your detectors.
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- **[Handling errors](7-handling-errors.md)**: Understand how to handle and troubleshoot HTTP errors (`ApiException`) that may occur while using Groundlight.
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- **[Asynchronous queries](8-async-queries.md)**: Groundlight makes it easy to submit asynchronous queries. Learn how to submit queries asynchronously and retrieve the results later.

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