Add makesense labeling instruction (#1)

* write labeling dataset * insert photo for labeling_dataset
pooya-mohammadi · Aug 22, 2022 · 516f98b · 516f98b
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diff --git a/Readme.md b/Readme.md
@@ -9,8 +9,8 @@ smooth and easy as possible. You can find the YouTube videos in the following pl
 
 
 ## Table of contents
-* Downloading dataset
-* Labeling Dataset
+* [Downloading dataset](#Downloading-dataset)
+* [Labeling Dataset](#Labeling-Dataset)
 * [Training a model with Yolov5](#training-a-model-with-yolov5)
 
 
@@ -28,16 +28,50 @@ labeling different image-based datasets. To better understand how to use makesen
 can find in the following link:</br>
 [Makesense.ai YouTube video]()
 
-First step: Open [makesense.ai main page](https://www.makesense.ai/)
+First step: Open [makesense.ai main page](https://www.makesense.ai/)</br>
+second step: click`Get Started`  Then Select images by dropping or from your folder and choice . <br />
+![get started](images/labeling_dataset/get_started.png)</br>
+![drop_or_choice_file](images/labeling_dataset/drop_or_choice_file.png)</br>
+![clik_object_detection](images/labeling_dataset/clik_object_detection.png)</br>
 
+Third step: Before starting, you must choose a name for your label (you can have two or more labels and add a new chosen name by pressing the enter button).<br />
+![name_lable](images/labeling_dataset/name_lable.png)</br>
+
+Fourth step: Based on the type of labeling, choose the mode you want (for example, we have chosen Rect) and then drag the label you want on the image.<br />
+![the_mode](images/labeling_dataset/the_mode.png)</br>
+![dragging_the_tag](images/labeling_dataset/dragging_the_tag.png)</br>
+
+Fifth step: Be sure to select a name of your choice after dragging the tag (if there are two tags on the page, both tags must be named).<br />
+![name_label_choice](images/labeling_dataset/name_label_choice.png)</br>
+
+Sixth: After completing the labels, we select the Export Annotation option for the output from the action.(You can get any output model you need) <br />
+![annotation](images/labeling_dataset/annotation.png)</br>
+![model_output](images/labeling_dataset/model_output.png)</br>
+#### 🤓How to Extract
+right-click on the downloaded file and select the extract file option, the labels will be extracted as a file
 Last step: Checking the labels
+![extract](images/labeling_dataset/extract.png)</br>
+![extract_as_file](images/labeling_dataset/extract_as_file.png)</br>
+### 💡 Re-labeling or completing incomplete labels
+First step: Create a text file named  `labels.txt` in your labels' folder.
+Put the names you chose for your label in order (be careful in the order of the names)<br />
+![create_label_txt](images/labeling_dataset/create_label_txt.png)</br>
+![name_in_label_tag](images/labeling_dataset/name_in_label_tag.png)</br>
+Second step: Reload the photos and instead of selecting the name of the label, select the start project option.<br />
+![choice_start_project](images/labeling_dataset/choice_start_project.png)</br>
+Third step: Select the import annotation option in Action and drag or select the labels along with the created "labels.txt"
+(Make sure that the type of import is the same as the type of export).<br />
+![choice_model_import](images/labeling_dataset/choice_model_import.png)</br>
+![import_annotation](images/labeling_dataset/import_annotation.png)</br>
+![import_succefilly](images/labeling_dataset/import_succefilly.png)</br>
+Congratulations, you can now continue or improve your project :) .</br>
+![complete_again](images/labeling_dataset/complete_again.png)</br>
+### Training a model with Yolov5
+
 ```python
 from deep_utils import YOLOV5TorchObjectDetector
 YOLOV5TorchObjectDetector.test_label_dir()
 ```
-
-### Training a model with Yolov5
-
 ## 🌟 Spread the word!
 
 I would appreciate it if you could support the active development of this repo by:

diff --git a/images/labeling_dataset/Name_In_Label.png b/images/labeling_dataset/Name_In_Label.png
diff --git a/images/labeling_dataset/annotation.png b/images/labeling_dataset/annotation.png
diff --git a/images/labeling_dataset/choice_model_import.png b/images/labeling_dataset/choice_model_import.png
diff --git a/images/labeling_dataset/choice_start_project.png b/images/labeling_dataset/choice_start_project.png
diff --git a/images/labeling_dataset/clik_object_detection.png b/images/labeling_dataset/clik_object_detection.png
diff --git a/images/labeling_dataset/complete_again.png b/images/labeling_dataset/complete_again.png
diff --git a/images/labeling_dataset/create_label_txt.png b/images/labeling_dataset/create_label_txt.png
diff --git a/images/labeling_dataset/dragging_the_tag.png b/images/labeling_dataset/dragging_the_tag.png
diff --git a/images/labeling_dataset/drop_or_choice_file.png b/images/labeling_dataset/drop_or_choice_file.png
diff --git a/images/labeling_dataset/extract.png b/images/labeling_dataset/extract.png
diff --git a/images/labeling_dataset/extract_as_file.png b/images/labeling_dataset/extract_as_file.png
diff --git a/images/labeling_dataset/get_started.png b/images/labeling_dataset/get_started.png
diff --git a/images/labeling_dataset/import_annotation.png b/images/labeling_dataset/import_annotation.png
diff --git a/images/labeling_dataset/import_succefilly.png b/images/labeling_dataset/import_succefilly.png
diff --git a/images/labeling_dataset/model_output.png b/images/labeling_dataset/model_output.png
diff --git a/images/labeling_dataset/name_in_label_tag.png b/images/labeling_dataset/name_in_label_tag.png
diff --git a/images/labeling_dataset/name_label_choice.png b/images/labeling_dataset/name_label_choice.png
diff --git a/images/labeling_dataset/name_lable.png b/images/labeling_dataset/name_lable.png
diff --git a/images/labeling_dataset/the_mode.png b/images/labeling_dataset/the_mode.png