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RapidAI · Oct 24, 2023 · e7fb920 · e7fb920
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diff --git a/content/docs/SupportConversions/coco_to_labelimg.md b/content/docs/SupportConversions/coco_to_labelimg.md
@@ -11,9 +11,9 @@ publishdate: "2022-09-30T05:33:22+01:00"
 ---
 
 - One-click conversion of COCO format data to labelImg labeled yolo format data.
-- COCO format directory structure（see `dataset/YOLOV5_COCO_format` for details）：
+- COCO format directory structure（see `dataset/COCO_format` for details）：
     ```text {linenos=table}
-    YOLOV5_COCO_format
+    COCO_format
     ├── annotations
     │   ├── instances_train2017.json
     │   └── instances_val2017.json
@@ -25,16 +25,16 @@ publishdate: "2022-09-30T05:33:22+01:00"
     ```
 - Convert
     ```bash {linenos=table}
-    coco_to_labelImg --data_dir dataset/YOLOV5_COCO_format
+    coco_to_labelImg --data_dir dataset/COCO_format
     ```
-  - `--data_dir`: the directory where the COCO format dataset is located. Default is `dataset/YOLOV5_COCO_format`.
-- Converted directory structure (see `dataset/COCO_labelImg_format` for details):
+  - `--data_dir`: the directory where the COCO format dataset is located. Default is `dataset/COCO_format`.
+- Converted directory structure (see `dataset/labelImg_format` for details):
   ```text {linenos=table}
-  COCO_labelImg_format
+  labelImg_format
     ├── train
     │   ├── 000000000001.jpg
     │   ├── 000000000001.txt
-    │   |-- 000000000002.jpg
+    │   ├── 000000000002.jpg
     │   └── classes.txt
     └── val
         ├── 000000000001.jpg
@@ -43,7 +43,7 @@ publishdate: "2022-09-30T05:33:22+01:00"
   ```
 - For the converted directory, you can directly use the [labelImg](https://github.com/tzutalin/labelImg)  library to open it directly and change the label. The specific commands are as follows:
   ```bash {linenos=table}
-  $ cd dataset/COCO_labelImg_format
+  $ cd dataset/labelImg_format
   $ labelImg train train/classes.txt
 
   # or

diff --git a/content/docs/SupportConversions/coco_visual.md b/content/docs/SupportConversions/coco_visual.md
@@ -13,8 +13,8 @@ publishdate: "2022-09-30T05:33:22+01:00"
 
 ```bash {linenos=table}
 coco_visual --vis_num 1 \
-            --json_path dataset/YOLOV5_COCO_format/annotations/instances_train2017.json \
-            --img_dir dataset/YOLOV5_COCO_format/train2017
+            --json_path dataset/COCO_format/annotations/instances_train2017.json \
+            --img_dir dataset/COCO_format/train2017
 ```
 
 - `--vis_num`: specify the index of the image to be viewed

diff --git a/content/docs/SupportConversions/labelimg_to_publaynet.md b/content/docs/SupportConversions/labelimg_to_publaynet.md
@@ -32,17 +32,17 @@ publishdate: "2022-09-30T05:33:22+01:00"
     ```bash {linenos=table}
     labelImg_to_publaynet --data_dir dataset/labelImg_dataset \
                           --val_ratio 0.2 \
-                          --have_test true \
+                          --have_test \
                           --test_ratio 0.2
     ```
     - `--data_dir`: the directory where labelImg is stored after labeling.
     - `--val_ratio`: the ratio of the generated validation set to the whole data, default is `0.2`.
-    - `--have_test`: whether to generate the test part of the data, the default is `True`.
+    - `--have_test`: whether to generate the test part of the data, the default is `False`. If this parameter appears, it is `True`.
     - `--test_ratio`: percentage of the whole data of the test data, default is `0.2`.
 
-- Converted directory structure (see `dataset/labelImg_dataset_publaynet` for details):
+- Converted directory structure (see `dataset/publaynet_format` for details):
     ````text {linenos=table}
-    labelImg_dataset_publaynet
+    publaynet_format
     ├── test
     │   ├── images5.jpg
     │   └── images5.txt

diff --git a/content/docs/SupportConversions/labelimg_to_yolov5.md b/content/docs/SupportConversions/labelimg_to_yolov5.md
@@ -33,13 +33,13 @@ publishdate: "2022-09-30T05:33:22+01:00"
     labelimg_to_yolov5 --src_dir dataset/labelImg_dataset \
                        --out_dir dataset/labelImg_dataset_output \
                        --val_ratio 0.2 \
-                       --have_test true \
+                       --have_test \
                        --test_ratio 0.2
     ```
     - `--src_dir`: the directory where labelImg is stored after labeling.
     - `--out_dir`: the location where the data is stored after conversion.
     - `--val_ratio`: the ratio of the generated validation set to the whole data, default is `0.2`.
-    - `--have_test`: whether to generate the test part of the data, the default is `True`.
+    - `--have_test`: whether to generate the test part of the data, the default is `False`. If this parameter appears, it is `True`.
     - `--test_ratio`: percentage of the whole data of the test data, default is `0.2`.
 
 - Converted directory structure (see `dataset/labelImg_dataset_output` for details):

diff --git a/content/docs/SupportConversions/yolov5_to_coco.md b/content/docs/SupportConversions/yolov5_to_coco.md
@@ -43,9 +43,9 @@ publishdate: "2022-09-30T05:33:22+01:00"
   - `--data_dir`: the directory where the collated dataset is located
   - `--mode_list`: specify the generated json, provided that there is a corresponding txt file, which can be specified separately. (e.g. `train,val,test`)
 
-- The structure of the converted directory (see `dataset/YOLOV5_COCO_format` for details)
+- The structure of the converted directory (see `dataset/COCO_format` for details)
     ```text {linenos=table}
-    YOLOV5_COCO_format
+    COCO_format
     ├── annotations
     │   ├── instances_train2017.json
     │   └── instances_val2017.json