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+# Evaluation - Multimodal
+
+This sample demonstrates that the evaluation pipeline preserves multimodal content. When conversations include images, `EvalChecks.HasImageContent` can verify they survived into the `EvalItem`.
+
+## What this sample demonstrates
+
+- Building `EvalItem` objects with `UriContent` image content
+- Using built-in `EvalChecks.HasImageContent` to detect images in conversations
+- Comparing image vs. text-only conversations to show when the check passes/fails
+- Evaluating directly with `LocalEvaluator.EvaluateAsync()` (no agent needed)
+
+## Prerequisites
+
+- .NET 10 SDK or later
+
+No Azure credentials or environment variables are required for this sample since it evaluates locally without calling an agent.
+
+## Run the sample
+
+```powershell
+cd dotnet/samples/02-agents/Evaluation
+dotnet run --project .\Evaluation_Multimodal
+```
+
+## See also
+
+- [Evaluation_SimpleEval](../Evaluation_SimpleEval/) — Simplest evaluation with built-in checks and `agent.EvaluateAsync()`
+- [Evaluation_FoundryQuality](../../../05-end-to-end/Evaluation/Evaluation_FoundryQuality/) — Cloud-based quality evaluation with Foundry evaluators
+- [Evaluation_FoundryRubric](../../../05-end-to-end/Evaluation/Evaluation_FoundryRubric/) — Rubric (adaptive) evaluators with per-dimension scores
+- [Evaluation_ConversationSplits](../../../05-end-to-end/Evaluation/Evaluation_ConversationSplits/) — Multi-turn conversation split strategies