diff --git a/configs/ppyolo/ppyolo_lb.yml b/configs/ppyolo/ppyolo_lb.yml
index 789942623c28234b102c3b611e57dbff6e38eae9..56846814fd2b73dad9aad2f1464540b055080131 100644
--- a/configs/ppyolo/ppyolo_lb.yml
+++ b/configs/ppyolo/ppyolo_lb.yml
@@ -88,4 +88,4 @@ OptimizerBuilder:
     factor: 0.0005
     type: L2
 
-_READER_: 'ppyolo_reader.yml'
+_READER_: 'ppyolo_reader_lb.yml'
diff --git a/configs/ppyolo/ppyolo_reader.yml b/configs/ppyolo/ppyolo_reader.yml
index d42523e699e84a31ecb06dfa36adb3e667789ba1..75e458c3cadbdd16d81e33af3b040905ab3afcf6 100644
--- a/configs/ppyolo/ppyolo_reader.yml
+++ b/configs/ppyolo/ppyolo_reader.yml
@@ -46,9 +46,8 @@ TrainReader:
               [30, 61], [62, 45], [59, 119],
               [116, 90], [156, 198], [373, 326]]
     downsample_ratios: [32, 16, 8]
-  batch_size: 24
+  batch_size: 8
   shuffle: true
-  # mixup_epoch: 250
   mixup_epoch: 25000
   drop_last: true
   worker_num: 8
diff --git a/configs/ppyolo/ppyolo_reader_lb.yml b/configs/ppyolo/ppyolo_reader_lb.yml
new file mode 100644
index 0000000000000000000000000000000000000000..295ddbaf9f265b0c9ee2e752f49983890518596a
--- /dev/null
+++ b/configs/ppyolo/ppyolo_reader_lb.yml
@@ -0,0 +1,110 @@
+TrainReader:
+  inputs_def:
+    fields: ['image', 'gt_bbox', 'gt_class', 'gt_score']
+    num_max_boxes: 50
+  dataset:
+    !COCODataSet
+      image_dir: train2017
+      anno_path: annotations/instances_train2017.json
+      dataset_dir: dataset/coco
+      with_background: false
+  sample_transforms:
+    - !DecodeImage
+      to_rgb: True
+      with_mixup: True
+    - !MixupImage
+      alpha: 1.5
+      beta: 1.5
+    - !ColorDistort {}
+    - !RandomExpand
+      fill_value: [123.675, 116.28, 103.53]
+    - !RandomCrop {}
+    - !RandomFlipImage
+      is_normalized: false
+    - !NormalizeBox {}
+    - !PadBox
+      num_max_boxes: 50
+    - !BboxXYXY2XYWH {}
+  batch_transforms:
+  - !RandomShape
+    sizes: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608]
+    random_inter: True
+  - !NormalizeImage
+    mean: [0.485, 0.456, 0.406]
+    std: [0.229, 0.224, 0.225]
+    is_scale: True
+    is_channel_first: false
+  - !Permute
+    to_bgr: false
+    channel_first: True
+  # Gt2YoloTarget is only used when use_fine_grained_loss set as true,
+  # this operator will be deleted automatically if use_fine_grained_loss
+  # is set as false
+  - !Gt2YoloTarget
+    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]]
+    downsample_ratios: [32, 16, 8]
+  batch_size: 24
+  shuffle: true
+  mixup_epoch: 25000
+  drop_last: true
+  worker_num: 8
+  bufsize: 4
+  use_process: true
+
+EvalReader:
+  inputs_def:
+    fields: ['image', 'im_size', 'im_id']
+    num_max_boxes: 50
+  dataset:
+    !COCODataSet
+      image_dir: val2017
+      anno_path: annotations/instances_val2017.json
+      dataset_dir: dataset/coco
+      with_background: false
+  sample_transforms:
+    - !DecodeImage
+      to_rgb: True
+    - !ResizeImage
+      target_size: 608
+      interp: 2
+    - !NormalizeImage
+      mean: [0.485, 0.456, 0.406]
+      std: [0.229, 0.224, 0.225]
+      is_scale: True
+      is_channel_first: false
+    - !PadBox
+      num_max_boxes: 50
+    - !Permute
+      to_bgr: false
+      channel_first: True
+  batch_size: 8
+  drop_empty: false
+  worker_num: 8
+  bufsize: 4
+
+TestReader:
+  inputs_def:
+    image_shape: [3, 608, 608]
+    fields: ['image', 'im_size', 'im_id']
+  dataset:
+    !ImageFolder
+      anno_path: annotations/instances_val2017.json
+      with_background: false
+  sample_transforms:
+    - !DecodeImage
+      to_rgb: True
+    - !ResizeImage
+      target_size: 608
+      interp: 2
+    - !NormalizeImage
+      mean: [0.485, 0.456, 0.406]
+      std: [0.229, 0.224, 0.225]
+      is_scale: True
+      is_channel_first: false
+    - !Permute
+      to_bgr: false
+      channel_first: True
+  batch_size: 1