diff --git a/src/main/java/org/dromara/easyai/yolo/YoloConfig.java b/src/main/java/org/dromara/easyai/yolo/YoloConfig.java
new file mode 100644
index 0000000..06b7612
--- /dev/null
+++ b/src/main/java/org/dromara/easyai/yolo/YoloConfig.java
@@ -0,0 +1,243 @@
+package org.dromara.easyai.yolo;
+
+import org.dromara.easyai.config.RZ;
+import org.dromara.easyai.config.ResnetConfig;
+
+public class YoloConfig {
+    private int windowWidth = 90;//检测窗口宽
+    private int windowHeight = 120;//检测窗口高
+    private int typeNub = 10;//类别数量
+    private int hiddenNerveNub = 16;//线性层隐层神经元数量
+    private float studyRate = 0.0025f;//学习率
+    private float positionStudyRate = 0.0025f;//位置学习率
+    private int kernelSize = 3;//卷积核尺寸
+    private boolean showLog = false;//是否打印学习过程中的log
+    private int enhance = 1;//数据增强
+    private float iouTh = 0.05f;//合并框交并比阈值
+    private float containIouTh = 0.15f;//是否包含样本交并比阈值
+    private float pth = 0.4f;//可信概率阈值
+    private float stepReduce = 0.25f;//训练步长收缩系数
+    private float checkStepReduce = 0.5f;//检测步长收缩系数
+    private float regular = 0;//正则系数
+    private int regularModel = RZ.NOT_RZ;//正则模式
+    private int coreNumber = 1;//是否使用多核并行计算进行提速
+    private int channelNo = 1;//通道数
+    private int minFeatureValue = 3;//输出特征维度大小
+    private float oneConvStudy = 0.0025f;//降维层学习率
+    private boolean norm = true;//是否进行维度调节
+    private float gaMa = 0.9f;//自适应学习率衰减系数
+    private float GMaxTh = 1000f;//梯度裁剪阈值
+    private float GRate = 0.9f;//梯度衰减
+    private boolean auto = false;//是否使用自适应学习率
+    private boolean proTrust = false;//是否用概率当作可信度
+
+    public float getGRate() {
+        return GRate;
+    }
+
+    public void setGRate(float GRate) {
+        this.GRate = GRate;
+    }
+
+    public boolean isProTrust() {
+        return proTrust;
+    }
+
+    public void setProTrust(boolean proTrust) {
+        this.proTrust = proTrust;
+    }
+
+    public boolean isAuto() {
+        return auto;
+    }
+
+    public void setAuto(boolean auto) {
+        this.auto = auto;
+    }
+
+    public float getGMaxTh() {
+        return GMaxTh;
+    }
+
+    public void setGMaxTh(float GMaxTh) {
+        this.GMaxTh = GMaxTh;
+    }
+
+    public float getGaMa() {
+        return gaMa;
+    }
+
+    public void setGaMa(float gaMa) {
+        this.gaMa = gaMa;
+    }
+
+    public float getPositionStudyRate() {
+        return positionStudyRate;
+    }
+
+    public void setPositionStudyRate(float positionStudyRate) {
+        this.positionStudyRate = positionStudyRate;
+    }
+
+    public boolean isNorm() {
+        return norm;
+    }
+
+    public void setNorm(boolean norm) {
+        this.norm = norm;
+    }
+
+    public float getOneConvStudy() {
+        return oneConvStudy;
+    }
+
+    public void setOneConvStudy(float oneConvStudy) {
+        this.oneConvStudy = oneConvStudy;
+    }
+
+    public int getMinFeatureValue() {
+        return minFeatureValue;
+    }
+
+    public void setMinFeatureValue(int minFeatureValue) {
+        this.minFeatureValue = minFeatureValue;
+    }
+
+    public int getChannelNo() {
+        return channelNo;
+    }
+
+    public void setChannelNo(int channelNo) {
+        this.channelNo = channelNo;
+    }
+
+    public int getCoreNumber() {
+        return coreNumber;
+    }
+
+    public void setCoreNumber(int coreNumber) {
+        this.coreNumber = coreNumber;
+    }
+
+    public int getRegularModel() {
+        return regularModel;
+    }
+
+    public void setRegularModel(int regularModel) {
+        this.regularModel = regularModel;
+    }
+
+    public float getStepReduce() {
+        return stepReduce;
+    }
+
+    public void setStepReduce(float stepReduce) {
+        this.stepReduce = stepReduce;
+    }
+
+    public float getRegular() {
+        return regular;
+    }
+
+    public void setRegular(float regular) {
+        this.regular = regular;
+    }
+
+    public float getCheckStepReduce() {
+        return checkStepReduce;
+    }
+
+    public void setCheckStepReduce(float checkStepReduce) {
+        this.checkStepReduce = checkStepReduce;
+    }
+
+    public float getPth() {
+        return pth;
+    }
+
+    public void setPth(float pth) {
+        this.pth = pth;
+    }
+
+    public float getContainIouTh() {
+        return containIouTh;
+    }
+
+    public void setContainIouTh(float containIouTh) {
+        this.containIouTh = containIouTh;
+    }
+
+    public float getIouTh() {
+        return iouTh;
+    }
+
+    public void setIouTh(float iouTh) {
+        this.iouTh = iouTh;
+    }
+
+
+    public int getEnhance() {
+        return enhance;
+    }
+
+    public void setEnhance(int enhance) {
+        this.enhance = enhance;
+    }
+
+    public int getKernelSize() {
+        return kernelSize;
+    }
+
+    public void setKernelSize(int kernelSize) {
+        this.kernelSize = kernelSize;
+    }
+
+    public int getWindowWidth() {
+        return windowWidth;
+    }
+
+    public void setWindowWidth(int windowWidth) {
+        this.windowWidth = windowWidth;
+    }
+
+    public int getWindowHeight() {
+        return windowHeight;
+    }
+
+    public void setWindowHeight(int windowHeight) {
+        this.windowHeight = windowHeight;
+    }
+
+    public int getTypeNub() {
+        return typeNub;
+    }
+
+    public void setTypeNub(int typeNub) {
+        this.typeNub = typeNub;
+    }
+
+    public int getHiddenNerveNub() {
+        return hiddenNerveNub;
+    }
+
+    public void setHiddenNerveNub(int hiddenNerveNub) {
+        this.hiddenNerveNub = hiddenNerveNub;
+    }
+
+    public float getStudyRate() {
+        return studyRate;
+    }
+
+    public void setStudyRate(float studyRate) {
+        this.studyRate = studyRate;
+    }
+
+    public boolean isShowLog() {
+        return showLog;
+    }
+
+    public void setShowLog(boolean showLog) {
+        this.showLog = showLog;
+    }
+
+}