diff --git a/source/MaaFramework/Vision/NeuralNetworkDetector.cpp b/source/MaaFramework/Vision/NeuralNetworkDetector.cpp
index ac864b218..70d8066cd 100644
--- a/source/MaaFramework/Vision/NeuralNetworkDetector.cpp
+++ b/source/MaaFramework/Vision/NeuralNetworkDetector.cpp
@@ -34,7 +34,7 @@ void NeuralNetworkDetector::analyze()
     auto start_time = std::chrono::steady_clock::now();
 
     auto results = detect();
-    add_results(std::move(results), param_.expected);
+    add_results(std::move(results), param_.expected, param_.thresholds);
 
     cherry_pick();
 
@@ -146,11 +146,26 @@ NeuralNetworkDetector::ResultsVec NeuralNetworkDetector::detect() const
     return nms_results;
 }
 
-void NeuralNetworkDetector::add_results(ResultsVec results, const std::vector<size_t>& expected)
+void NeuralNetworkDetector::add_results(ResultsVec results, const std::vector<size_t>& expected, const std::vector<double>& thresholds)
 {
-    std::ranges::copy_if(results, std::back_inserter(filtered_results_), [&](const auto& res) {
-        return std::ranges::find(expected, res.cls_index) != expected.end();
-    });
+    if (expected.size() != thresholds.size()) {
+        LogError << name_ << VAR(uid_) << "expected.size() != thresholds.size()" << VAR(expected) << VAR(thresholds);
+        return;
+    }
+
+    for (size_t i = 0; i != expected.size(); ++i) {
+        size_t exp = expected.at(i);
+        auto it = std::ranges::find(results, exp, std::mem_fn(&Result::cls_index));
+        if (it == results.end()) {
+            continue;
+        }
+        const Result& res = *it;
+        double thres = thresholds.at(i);
+        if (res.score < thres) {
+            continue;
+        }
+        filtered_results_.emplace_back(res);
+    }
 
     merge_vector_(all_results_, std::move(results));
 }
diff --git a/source/MaaFramework/Vision/NeuralNetworkDetector.h b/source/MaaFramework/Vision/NeuralNetworkDetector.h
index 96f1a26ff..46427ce54 100644
--- a/source/MaaFramework/Vision/NeuralNetworkDetector.h
+++ b/source/MaaFramework/Vision/NeuralNetworkDetector.h
@@ -41,7 +41,7 @@ class NeuralNetworkDetector
 
     ResultsVec detect() const;
 
-    void add_results(ResultsVec results, const std::vector<size_t>& expected);
+    void add_results(ResultsVec results, const std::vector<size_t>& expected, const std::vector<double>& thresholds);
     void cherry_pick();
 
 private: