diff --git a/configs/ppyolo/README.md b/configs/ppyolo/README.md
index 768a5416954d44522dba4ea46d50c15a74909c72..a950e2105b6729b53239980dbbb1d40941705aee 100644
--- a/configs/ppyolo/README.md
+++ b/configs/ppyolo/README.md
@@ -73,6 +73,16 @@ PP-YOLO improved performance and speed of YOLOv3 with following methods:
- PP-YOLO_r18vd used 4 GPUs for training and mini-batch size as 32 on each GPU, if GPU number and mini-batch size is changed, learning rate and iteration times should be adjusted according [FAQ](../../docs/FAQ.md).
- PP-YOLO_r18vd inference speeding testing environment and configuration is same as PP-YOLO above.
+### PP-YOLO on Pascal VOC
+
+PP-YOLO trained on Pascal VOC dataset as follows:
+
+| Model | GPU number | images/GPU | backbone | input shape | Box AP50val | download | config |
+|:------------------:|:----------:|:----------:|:----------:| :----------:| :--------------------: | :------: | :-----: |
+| PP-YOLO | 8 | 12 | ResNet50vd | 608 | 84.9 | [model](https://paddlemodels.bj.bcebos.com/object_detection/ppyolo_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/configs/ppyolo/ppyolo_voc.yml) |
+| PP-YOLO | 8 | 12 | ResNet50vd | 416 | 84.3 | [model](https://paddlemodels.bj.bcebos.com/object_detection/ppyolo_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/configs/ppyolo/ppyolo_voc.yml) |
+| PP-YOLO | 8 | 12 | ResNet50vd | 320 | 82.2 | [model](https://paddlemodels.bj.bcebos.com/object_detection/ppyolo_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/configs/ppyolo/ppyolo_voc.yml) |
+
## Getting Start
### 1. Training
diff --git a/configs/ppyolo/README_cn.md b/configs/ppyolo/README_cn.md
index 42dada318bb523ecbc67be8c63422a4efb4248b5..406af541a219233e67ea8441a5eb3e313f80990d 100644
--- a/configs/ppyolo/README_cn.md
+++ b/configs/ppyolo/README_cn.md
@@ -74,6 +74,16 @@ PP-YOLO从如下方面优化和提升YOLOv3模型的精度和速度：
- PP-YOLO_r18vd 模型训练过程中使用4GPU，每GPU batch size为32进行训练，如训练GPU数和batch size不使用上述配置，须参考[FAQ](../../docs/FAQ.md)调整学习率和迭代次数。
- PP-YOLO_r18vd 模型推理速度测试环境配置和测试方法与PP-YOLO模型一致。
+### Pascal VOC数据集上的PP-YOLO
+
+PP-YOLO在Pascal VOC数据集上训练模型如下:
+
+| 模型 | GPU个数 | 每GPU图片个数 | 骨干网络 | 输入尺寸 | Box AP50val | 模型下载 | 配置文件 |
+|:------------------:|:-------:|:------- ---:|:----------:| :----------:| :--------------------: | :------: | :-----: |
+| PP-YOLO | 8 | 12 | ResNet50vd | 608 | 84.9 | [model](https://paddlemodels.bj.bcebos.com/object_detection/ppyolo_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/configs/ppyolo/ppyolo_voc.yml) |
+| PP-YOLO | 8 | 12 | ResNet50vd | 416 | 84.3 | [model](https://paddlemodels.bj.bcebos.com/object_detection/ppyolo_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/configs/ppyolo/ppyolo_voc.yml) |
+| PP-YOLO | 8 | 12 | ResNet50vd | 320 | 82.2 | [model](https://paddlemodels.bj.bcebos.com/object_detection/ppyolo_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/configs/ppyolo/ppyolo_voc.yml) |
+
## 使用说明
### 1. 训练
diff --git a/configs/ppyolo/ppyolo_voc.yml b/configs/ppyolo/ppyolo_voc.yml
new file mode 100644
index 0000000000000000000000000000000000000000..50c00575729724bd837e685591c330fb2998506d
--- /dev/null
+++ b/configs/ppyolo/ppyolo_voc.yml
@@ -0,0 +1,117 @@
+architecture: YOLOv3
+use_gpu: true
+max_iters: 70000
+log_smooth_window: 20
+log_iter: 20
+save_dir: output
+snapshot_iter: 10000
+metric: VOC
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar
+weights: output/ppyolo/model_final
+num_classes: 20
+use_fine_grained_loss: true
+use_ema: true
+ema_decay: 0.9998
+
+YOLOv3:
+ backbone: ResNet
+ yolo_head: YOLOv3Head
+ use_fine_grained_loss: true
+
+ResNet:
+ norm_type: sync_bn
+ freeze_at: 0
+ freeze_norm: false
+ norm_decay: 0.
+ depth: 50
+ feature_maps: [3, 4, 5]
+ variant: d
+ dcn_v2_stages: [5]
+
+YOLOv3Head:
+ anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
+ anchors: [[10, 13], [16, 30], [33, 23],
+ [30, 61], [62, 45], [59, 119],
+ [116, 90], [156, 198], [373, 326]]
+ norm_decay: 0.
+ coord_conv: true
+ iou_aware: true
+ iou_aware_factor: 0.4
+ scale_x_y: 1.05
+ spp: true
+ yolo_loss: YOLOv3Loss
+ nms: MatrixNMS
+ drop_block: true
+
+YOLOv3Loss:
+ ignore_thresh: 0.7
+ scale_x_y: 1.05
+ label_smooth: false
+ use_fine_grained_loss: true
+ iou_loss: IouLoss
+ iou_aware_loss: IouAwareLoss
+
+IouLoss:
+ loss_weight: 2.5
+ max_height: 608
+ max_width: 608
+
+IouAwareLoss:
+ loss_weight: 1.0
+ max_height: 608
+ max_width: 608
+
+MatrixNMS:
+ background_label: -1
+ keep_top_k: 100
+ normalized: false
+ score_threshold: 0.01
+ post_threshold: 0.01
+
+LearningRate:
+ base_lr: 0.00333
+ schedulers:
+ - !PiecewiseDecay
+ gamma: 0.1
+ milestones:
+ - 56000
+ - 62000
+ - !LinearWarmup
+ start_factor: 0.
+ steps: 4000
+
+OptimizerBuilder:
+ optimizer:
+ momentum: 0.9
+ type: Momentum
+ regularizer:
+ factor: 0.0005
+ type: L2
+
+_READER_: 'ppyolo_reader.yml'
+TrainReader:
+ dataset:
+ !VOCDataSet
+ dataset_dir: train_data/dataset/voc
+ anno_path: trainval.txt
+ use_default_label: true
+ with_background: false
+ mixup_epoch: 350
+ batch_size: 12
+
+EvalReader:
+ inputs_def:
+ fields: ['image', 'im_size', 'im_id', 'gt_bbox', 'gt_class', 'is_difficult']
+ num_max_boxes: 50
+ dataset:
+ !VOCDataSet
+ dataset_dir: train_data/dataset/voc
+ anno_path: test.txt
+ use_default_label: true
+ with_background: false
+
+TestReader:
+ dataset:
+ !ImageFolder
+ use_default_label: true
+ with_background: false