https://github.com/cnyvfang/labelGo-Yolov5AutoLabelImg
YOLOV5 semi-automatic annotation tool (Based on labelImg)
https://github.com/cnyvfang/labelGo-Yolov5AutoLabelImg
annotations autolabel detection gui label labelimg labeling-tool yolov5
Last synced: 25 days ago
JSON representation
YOLOV5 semi-automatic annotation tool (Based on labelImg)
- Host: GitHub
- URL: https://github.com/cnyvfang/labelGo-Yolov5AutoLabelImg
- Owner: cnyvfang
- License: mit
- Created: 2021-08-10T05:17:12.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-06-22T13:05:54.000Z (almost 2 years ago)
- Last Synced: 2024-10-28T04:19:21.467Z (6 months ago)
- Topics: annotations, autolabel, detection, gui, label, labelimg, labeling-tool, yolov5
- Language: Python
- Homepage:
- Size: 15.1 MB
- Stars: 450
- Watchers: 5
- Forks: 65
- Open Issues: 23
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-object-detection-datasets - cnyvfang/labelGo-Yolov5AutoLabelImg - Yolov5AutoLabelImg?style=social"/> : 💕YOLOV5 semi-automatic annotation tool (Based on labelImg)💕一个基于labelImg及YOLOV5的图形化半自动标注工具。 (Summary)
- awesome-yolo-object-detection - cnyvfang/labelGo-Yolov5AutoLabelImg - Yolov5AutoLabelImg?style=social"/> : 💕YOLOV5 semi-automatic annotation tool (Based on labelImg)💕一个基于labelImg及YOLOV5的图形化半自动标注工具。 (Object Detection Applications)
README
# labelGo
Guide Language:简体中文
A graphical Semi-automatic annotation tool based on labelImg and YOLOv5
Semi-automatic annotation of datasets by existing yolov5 pytorch models
## News
**labelGo now supports the latest version of YOLOv5, and automatic classes.txt file generation**
### Demonstration of semi-automatic labeling function
### Demonstration of converting Yolo format to VOC format with one click
## Note
If there is a problem, please put it forward in the issue.
The annotation file is saved in the same location as the picture folder.
Recommended version of python: python 3.8.
Recommended for conda environments.
The item is completely free and it is forbidden to sell the item in any way.
This project has support for the latest version of YOLOv5, if you need to use an older version that supports YOLOv5 version5, you can find the source code in Release.
## Installation and use
1.Fetching projects from git
```bash
git clone https://github.com/cnyvfang/labelGo-Yolov5AutoLabelImg.git
```
2.Switching the operating directory to the project directory
```bash
cd labelGo-Yolov5AutoLabelImg
```
3.Installation environment
```bash
pip install -r requirements.txt
```
4.Launching applications
```bash
python labelGo.py
```
5. Click on the "Open directory" button to select the folder where the images are stored
6. Click on the "Auto Annotate" button to confirm that the information is correct and then select the trained yolov5 pytorch model to complete the auto annotation
7. Adjust the automatic annotation results according to the actual requirements and save them
## Acknowledgements
Thanks to [tangtang666](https://github.com/tangtang666) for submitting support for the latest version of YOLOv5
Thanks to [Iceprism](https://github.com/Iceprism) for fixing the bugs in the Chinese version.