diff --git a/configs/picodet/README.md b/configs/picodet/README.md
index 9b6f5919460c94eb201e004bb03766844f997222..aa8f2f8b0a905a6bd4dbfa8fa5accd0ee67920e4 100644
--- a/configs/picodet/README.md
+++ b/configs/picodet/README.md
@@ -271,6 +271,8 @@ python tools/post_quant.py -c configs/picodet/picodet_s_320_coco.yml \
 
 - **Pedestrian detection:** model zoo of `PicoDet-S-Pedestrian` please refer to [PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/keypoint/tiny_pose#%E8%A1%8C%E4%BA%BA%E6%A3%80%E6%B5%8B%E6%A8%A1%E5%9E%8B)
 
+- **Mainbody detection:** model zoo of `PicoDet-L-Mainbody` please refer to [mainbody detection](./application/mainbody_detection/README.md)
+
 ## FAQ
 
 <details>
diff --git a/configs/picodet/_base_/optimizer_100e.yml b/configs/picodet/_base_/optimizer_100e.yml
new file mode 100644
index 0000000000000000000000000000000000000000..8adda6a64f2854a6cc158da247178291af5cca1c
--- /dev/null
+++ b/configs/picodet/_base_/optimizer_100e.yml
@@ -0,0 +1,18 @@
+epoch: 100
+
+LearningRate:
+  base_lr: 0.4
+  schedulers:
+  - !CosineDecay
+    max_epochs: 100
+  - !LinearWarmup
+    start_factor: 0.1
+    steps: 300
+
+OptimizerBuilder:
+  optimizer:
+    momentum: 0.9
+    type: Momentum
+  regularizer:
+    factor: 0.00004
+    type: L2
diff --git a/configs/picodet/application/mainbody_detection/README.md b/configs/picodet/application/mainbody_detection/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..d6d10cca1931cf008c2df2103fecffeae8b5b49c
--- /dev/null
+++ b/configs/picodet/application/mainbody_detection/README.md
@@ -0,0 +1,39 @@
+# 更多应用
+
+
+## 1. 主体检测任务
+
+主体检测技术是目前应用非常广泛的一种检测技术，它指的是检测出图片中一个或者多个主体的坐标位置，然后将图像中的对应区域裁剪下来，进行识别，从而完成整个识别过程。主体检测是识别任务的前序步骤，可以有效提升识别精度。
+
+主体检测是图像识别的前序步骤，被用于PaddleClas的PP-ShiTu图像识别系统中。PP-ShiTu中使用的主体检测模型基于PP-PicoDet。更多关于PP-ShiTu的介绍与使用可以参考：[PP-ShiTu](https://github.com/PaddlePaddle/PaddleClas)。
+
+
+### 1.1 数据集
+
+PP-ShiTu图像识别任务中，训练主体检测模型时主要用到了以下几个数据集。
+
+| 数据集       | 数据量   | 主体检测任务中使用的数据量   | 场景  | 数据集地址 |
+| :------------:  | :-------------: | :-------: | :-------: | :--------: |
+| Objects365 | 170W | 6k | 通用场景 | [地址](https://www.objects365.org/overview.html) |
+| COCO2017 | 12W | 5k  | 通用场景 | [地址](https://cocodataset.org/) |
+| iCartoonFace | 2k | 2k | 动漫人脸检测 | [地址](https://github.com/luxiangju-PersonAI/iCartoonFace) |
+| LogoDet-3k | 3k | 2k | Logo检测 | [地址](https://github.com/Wangjing1551/LogoDet-3K-Dataset) |
+| RPC | 3k | 3k  | 商品检测 | [地址](https://rpc-dataset.github.io/) |
+
+在实际训练的过程中，将所有数据集混合在一起。由于是主体检测，这里将所有标注出的检测框对应的类别都修改为 `前景` 的类别，最终融合的数据集中只包含 1 个类别，即前景，数据集定义配置可以参考[mainbody_detection.yml](./mainbody_detection.yml)。
+
+
+### 1.2 模型库
+
+| 模型     | 图像输入尺寸 | mAP<sup>val<br>0.5:0.95 | mAP<sup>val<br>0.5 |  下载地址  | config |
+| :-------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: |
+| PicoDet-LCNet_x2_5 |  640*640   |          41.5   |    62.0     | [trained model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_x2_5_640_mainbody.pdparams) &#124; [inference model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_x2_5_640_mainbody_infer.tar) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_lcnet_x2_5_640_mainbody.log) | [config](./picodet_lcnet_2_5x_640_mainbody.yml) |
+
+### 1.3 快速体验
+
+```shell
+python tools/infer.py -c configs/picodet/application/mainbody_detection/picodet_lcnet_x2_5_640_mainbody.yml \
+        -o weights=https://paddledet.bj.bcebos.com/models/picodet_lcnet_x2_5_640_mainbody.pdparams
+```
+
+- 注意：测试时TestDataset中的anno_path需要指定json标注文件，可视化的类别标签才正确。
diff --git a/configs/picodet/application/mainbody_detection/picodet_lcnet_x2_5_640_mainbody.yml b/configs/picodet/application/mainbody_detection/picodet_lcnet_x2_5_640_mainbody.yml
new file mode 100644
index 0000000000000000000000000000000000000000..a839373a4f9a356042270953a5e7023581dcf09c
--- /dev/null
+++ b/configs/picodet/application/mainbody_detection/picodet_lcnet_x2_5_640_mainbody.yml
@@ -0,0 +1,42 @@
+_BASE_: [
+  '../../../runtime.yml',
+  '../../_base_/picodet_esnet.yml',
+  '../../_base_/optimizer_100e.yml',
+  '../../_base_/picodet_640_reader.yml',
+]
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/LCNet_x2_5_ssld_pretrained.pdparams
+weights: output/picodet_lcnet_x2_5_640_mainbody/model_final
+find_unused_parameters: True
+use_ema: true
+cycle_epoch: 20
+snapshot_epoch: 2
+
+PicoDet:
+  backbone: LCNet
+  neck: CSPPAN
+  head: PicoHead
+
+LCNet:
+  scale: 2.5
+  feature_maps: [3, 4, 5]
+
+metric: COCO
+num_classes: 1
+
+TrainDataset:
+  !COCODataSet
+    image_dir: ./
+    anno_path: train.json
+    dataset_dir: dataset/mainbody/
+    data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']
+
+EvalDataset:
+  !COCODataSet
+    image_dir: ./
+    anno_path: val.json
+    dataset_dir: dataset/mainbody/
+
+TestDataset:
+  !ImageFolder
+    anno_path: ./dataset/mainbody/val.json